Dr. Vikram Singh | Enterprise AI Leader & Global AI Strategist

• Satya Nadella’s Coffee Table Book 2025 — Mahindra nAIna.ai

  Led end-to-end strategy, architecture, and deployment of a GenAI-driven conversational voice AI platform for Mahindra Group. The platform drove ≈1,700 XUV 7XO bookings, delivering approximately ₹3.4+ billion in attributed revenue. The initiative was recognised in Satya Nadella’s Coffee Table Book (2025).

• Satya Nadella’s Coffee Table Book 2024 — IndiGo 6Eskai Chatbot

  Pioneered the revolutionary 6Eskai chatbot at IndiGo, catalysing an impressive 6.37% uplift in IndiGo’s stock price within a single week. The achievement garnered acclaim in Satya Nadella’s Coffee Table Book (2024) and coverage from leading media outlets including Zee Business, Aaj Tak, and Web 3.0.

• Founded IndiGo’s AI Lab (Lab37) with 26 Specialists & IIT Delhi Collaboration

  Spearheaded the creation of IndiGo’s cutting-edge AI Lab, established an academic collaboration with IIT Delhi, and led a cross-functional team of 26 specialists, firmly establishing IndiGo as a trailblazer in aviation AI.

• IndiGo Live Agent Reduction: 14% → 2%

  Under the 6Eskai GPT-4 chatbot programme, achieved a remarkable decrease in live agent calls from approximately 14% to just 2%. Also developed an HR query bot that revolutionised employee response times from nearly a full day to under one minute.

• IndiGo Demand Forecast Error Reduced from 35% to 15%

  Led the refinement of ML models for Network Planning and Revenue Management, resulting in a reduction of prediction error rates from ~35% to ~15% in targeted sectors. Customer segmentation enhancements drove a ~1% increase in Click-Through Rate (CTR) across digital marketing campaigns.

• Enterprise AI Governance, Board Advisory & C-Suite Partnership

  Partnered directly with CEOs, CFOs, CIOs, and Board members across Mahindra, IndiGo, Cloud4C, and G42 to define enterprise-wide AI strategy, establish AI governance and risk management frameworks, and report AI ROI to executive leadership. Owned AI P&L across multi-business-unit organisations, led end-to-end AI talent acquisition and team scaling, and served as the executive AI spokesperson at global conferences, CxO innovation forums, and in major media. Certified in Project Management (Google) and Team Leadership (University of Michigan).

• Building & Scaling Enterprise AI Labs from Zero to Impact

  Brings firsthand expertise on how to scale an internal AI and Data Science team — from defining hiring criteria and structuring cross-functional pods to setting up AI labs, deploying CI/CD MLOps pipelines on Azure with private networking and auto-scaling, and establishing the operational cadence that transforms a startup-style AI group into an enterprise-grade AI organisation. At IndiGo, he grew Lab37 to 26 specialists; at Mahindra, he is scaling a group-wide AI capability across automotive, hospitality, and enterprise verticals.

• Head of Artificial Intelligence — Mahindra Group (Apr 2025 – Present) • Mumbai, India

  Driving the AI transformation across Mahindra Group’s automotive, hospitality, and enterprise businesses. Leading the launch of Generative AI solutions like chatbots & Voice AI — enhancing sales, customer engagement, and operational efficiency. Establishing enterprise-wide MLOps frameworks for scalable AI deployment. Collaborating with CXOs to align AI strategy with business growth, customer experience, and sustainability goals. Architected nAIna.ai — an enterprise conversational AI platform that has handled over 500,000 customer calls, re-engaged 50,000+ lost leads, generated 6,000+ sales enquiries, and delivered a revenue impact of ₹300+ crore.

• Public Speaker — Self-Employed (May 2023 – Present) • Mumbai, India

  Invited keynote speaker, panelist, and fireside chat expert at global AI conferences, CxO innovation summits, and industry forums. Topics include Generative AI, Agentic AI, LLMs, AI Strategy, Responsible AI, and Digital Transformation.

• Senior Vice President — AI & Digital — Cloud4C Services / 8bit.ai (Nov 2024 – Mar 2025) • Hyderabad, India

  AI division of CtrlS Datacenters Ltd (Asia’s largest Rated-4 Datacenter Network). Designed and executed the AI strategy roadmap aligned with business innovation goals. Spearheaded elevation of service offerings, product development, architectural design, external collaborations, and business development. Built a high-performance AI team and represented Cloud4C on global AI forums and strategic partnership networks.

• Associate Director / Principal Data Scientist — IndiGo Airlines (Sep 2022 – Nov 2024) • Gurugram, India

  India’s largest & world’s third-largest airline (~32,000 employees). Co-founded Lab37 — IndiGo’s AI & Analytics division — with an academic collaboration with IIT Delhi and a cross-functional team of 26 specialists. Directed creation of the GPT-4-powered 6Eskai chatbot (ticket booking + QnA), achieving a remarkable decrease in live agent calls from ~14% to 2%. Developed an HR query bot cutting employee response times from ~1 day to under 1 minute. Led ML model refinement for Network Planning, Revenue Management & AI-driven predictive maintenance in the aviation sector, reducing prediction error from ~35% to ~15%. Customer segmentation work drove a ~1% CTR uplift in digital marketing. Commanded the analytics migration from Adobe Analytics to Google Analytics and deployed CI/CD MLOps pipelines on Azure with self-hosted runners, private networking, and auto-scaling.

• Lead Data Scientist — Cynax Labs (Mar 2022 – Sep 2022) • Dubai, UAE

  Dubai-based startup for drone-based surveillance and drug discovery. Led AiPOD: a cutting-edge face recognition system, thermal weapon detection module, and UAV/drone-operated license plate reader for enhanced security & surveillance. Directed PREPAiRE: a web-based drug discovery dashboard built with a team of developers & scientists.

• Senior Data Scientist — G42 & Bayanat (Dec 2020 – Mar 2022) • Abu Dhabi, UAE

  G42 is the UAE’s largest AI & cloud company; Bayanat is its geospatial intelligence subsidiary. Built and deployed 7 AI systems on the Artemis Supercomputer (224 V100 GPUs): ImNav (image-based GPS-emulating navigation), AutoGeo (automated georeferencing to GeoTIFF), SatExplore (satellite data explorer & visualiser), Object Segmentor (aircraft & vessel detection in SAR images via HPC Slurm), Mosaic Generator (satellite imagery stitching & colour correction), Fight Analyzer (UFC fighter performance prediction), and an AIaaS suite covering image tagging, NSFW filtering, and more. Delivered all models via dockerised REST/gRPC APIs.

• Applied Scientist - 2 — Amazon (May 2019 – Aug 2020) • Hyderabad, India

  Created neural networks for traffic sign recognition, geotagging, and satellite road detection, contributing to Amazon’s mapping and logistics AI initiatives.

• Research Assistant — IIT Madras & IIT Patna (Aug 2013 – Aug 2020) • Chennai, India

  Published multiple first-author research papers in reputed AI/ML journals and conferences (IEEE, Elsevier, WACV). Developed novel deep learning architectures for image super-resolution, video summarization, and deblurring.

• Doctor of Philosophy (PhD) — Computer Science & Engineering — Indian Institute of Technology Madras (Jul 2015 – Oct 2020)
• Master of Technology (M.Tech) — Computer Science & Engineering — Indian Institute of Technology Patna (Aug 2013 – May 2015)
• Master of Computer Applications (MCA) — Computer Science — Panjab University (Jul 2009 – May 2012)
• Bachelor of Computer Applications (BCA) — Computer Science — Sikkim Manipal University (Jul 2005 – Jun 2008)

• Google Project Management Certificate (v1) — Google (Mar 2022)
• Agile Project Management — Google (Mar 2022)
• Leading People and Teams Specialization — University of Michigan (Jun 2021)
• Leading People and Teams Capstone — University of Michigan (Jun 2021)
• Leading Teams — University of Michigan (Jun 2021)
• Managing Talent — University of Michigan (Jun 2021)
• Advanced Diploma in Computer Application — NIELIT (May 2007)

• Expert & Mentor — TopMate (Apr 2025 – Present)
• Reviewer — IEEE/CVF — ICCV, CVPR, WACV (Oct 2020 – Dec 2024)
• Reviewer — ECVA — ECCV (Oct 2020 – Dec 2024)
• Reviewer — Elsevier — CVIU, Neural Networks, Pattern Recognition (Oct 2020 – Dec 2024)

Executive AI Leadership Competencies

• Enterprise AI Strategy & Roadmapping
• AI Governance, Ethics & Risk Management
• Board & C-Suite AI Advisory
• AI P&L & Revenue Ownership
• Generative AI for Enterprise
• AI Team Building & Organizational Scaling
• AI-Driven Digital Transformation
• Predictive Modeling & Data Science at Scale
• MLOps Architectures & AI Deployment
• AI Keynote Speaking & Thought Leadership
• Computer Vision & Deep Learning Research

Technical & Executive Skills

• Agentic AI
• LLMs
• Enterprise AI Solutions
• MLOps
• Predictive Analytics
• Computer Vision
• Deep Learning
• AI Chatbots & Voice Bots
• AI in Aviation
• AI in Customer Experience
• AI in Sales
• Enterprise GenAI Consulting
• Responsible AI
• AI Governance Frameworks
• AI Risk & Compliance
• Board-Level AI Reporting
• AI Vendor & Partnership Strategy
• Text-to-SQL
• NLP
• Geospatial Intelligence
• Satellite Image Analysis
• Docker
• FastAPI
• gRPC / REST
• AWS / GCP / Azure
• Databricks
• Triton Server
• CI/CD Pipelines
• Stakeholder Management
• Budget & P&L Management
• Presales & Business Development
• Cross-functional Collaboration
• Talent Acquisition & Team Scaling
• AI in Financial Services
• AI Copilots for Enterprise
• GPT-4 Enterprise Implementation
• Enterprise AI Lab Setup
• AI Revenue Impact Analysis
• Image Super-Resolution (WDN)

From building enterprise AI roadmaps and measuring the ROI of Generative AI to implementing GPT-4 chatbots that reduce live agent calls by over 85% — Dr. Vikram Singh's skills span the full spectrum of enterprise AI. He is equally at home advising a board on responsible AI strategy as he is deep in the architecture of an LLM enterprise application, tuning a predictive analytics model, or setting up an enterprise AI lab from scratch. Across automotive, aviation, financial services, and hospitality, he has consistently delivered AI transformation with measurable ROI.

Dr. Vikram Singh communicates fluently in two languages, enabling him to lead teams, deliver keynote speeches, and engage with stakeholders across India and international forums.

• English — Full Professional Proficiency Primary language for all professional communications, research publications, keynote speeches, corporate presentations, and international conferences including Microsoft AI Tour Singapore, ET Edge AI Summit, and Databricks Data & AI World Tour.
• Hindi — Native or Bilingual Proficiency Native language used for team leadership, stakeholder engagement across India, mentorship sessions, and regional industry events. Enables effective communication with cross-functional teams at Mahindra Group and previously at IndiGo Airlines.

Peer-Reviewed Research Papers

• WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-Resolution — IEEE 2020 — First-author paper introducing the WDN architecture for image super-resolution using deep learning; a landmark contribution in computer vision and image processing.
• Refining high-frequencies for sharper super-resolution and deblurring — Elsevier CVIU 2020 — First-author research published in Elsevier's Computer Vision and Image Understanding journal.
• High-Frequency Refinement for Sharper Video Super-Resolution — WACV 2020
• Going Much Wider with Deep Networks for Image Super-Resolution — WACV 2020
• Modified differential evolution based 0/1 clustering for classification of data points: Using modified new point symmetry based distance and dynamically controlled parameters — IC3I 2014
• Indian Institute of Technology-Patna: Sentiment Analysis in Twitter — SemEval 2014

LinkedIn Articles

• From ChatGPT to Brain-Inspired AI: Why the Hierarchical Reasoning Model (HRM) Matters LinkedIn Pulse • August 2025 — Explores why brain-inspired AI and the Hierarchical Reasoning Model could signal a paradigm shift beyond current LLMs.
• Surviving the PhD Odyssey in AI: A Tale of Innovation, Rejection, Resilience, and Well-being LinkedIn Pulse • December 2023 — A candid PhD in AI survival guide covering mental health, resilience, community, and breakthroughs — drawn from Dr. Vikram Singh's own seven-year doctoral journey at IIT Madras.
• Sky-High Innovation: The AI Revolution Taking the Aviation Sector to New Heights LinkedIn Pulse • December 2023 — How AI in the aviation industry is reshaping everything — from predictive maintenance in aviation and dynamic routing to autonomous drones and personalized customer service.
• Soar High in Your Data Science Interview (Aviation): A Comprehensive Guide LinkedIn Pulse • December 2023 — A comprehensive data scientist interview guide for the aviation industry, written by an insider — covering the questions, frameworks, and domain knowledge that set top candidates apart.

• Quarterly Excellence Award — Mahindra Group (Mar 2026)
• Certificate of Appreciation — Mahindra AI — Mahindra Group (Feb 2026)
• GenAI Leader of the Year — UBS Forums (Oct 2025)
• Nominated & Participated — Microsoft AI Frontier Pinnacle Event — Microsoft HQ, Redmond, USA (Oct 2025)
• AI Innovator of the Year — ET Edge AI Summit, Times Group (Sep 2025)
• AI Power Player — ET Edge AI Summit, Times Group (Sep 2025)
• 40 Under 40 Data Scientist — MLDS, Analytics India Magazine (Feb 2025)
• Best Innovator — Digital — InterGlobe Aviation Ltd. (Feb 2024)
• Team Award for Best Project — Digital — InterGlobe Aviation Ltd. (Feb 2024)
• Power of We — InterGlobe Aviation Ltd. (2024)
• 10-Year Golden Residency for Talented Pioneers — UAE Government (Oct 2021)
• Best M.Tech CSE Dissertation — Indian Institute of Technology Patna (May 2015)
• Chairman, IEEE Student Branch — IIT Patna (May 2015)
• National Topper — NIIT Wizard Search — NIIT (2004)

Dr. Vikram Singh is one of India's most sought-after Generative AI keynote speakers and a leading Enterprise AI transformation speaker based in Mumbai. He brings to the stage a rare combination of deep technical depth and board-level executive perspective — covering topics from Agentic AI vs Generative AI for customer experience and the future of work and AI to Responsible AI and ethics, enterprise AI strategy, and the measurable ROI of AI at scale. A regular expert at CxO innovation summits, Agentic AI and data intelligence round tables, and global technology conferences, he has addressed audiences at Microsoft, Databricks, Times Group (ET Edge), Analytics India Magazine, and Indian Institutes of Management — and is one of the top-requested 40 Under 40 Data Scientists for panel discussions across the Indian AI and tech conference circuit.

• Speaker: Beyond the Chatbot — How GenAI & Agentic AI are Revolutionising Customer Experience

  Gen & Agentic AI Conclave • UBS Forums • Mumbai • October 2025

• Fireside Chat: How AI is Reshaping Value in Ways We Can’t Measure Yet

  ET Edge AI Summit • Times Group • Mumbai • September 2025

• Round Table: How Data Intelligence is Being Redefined in the Agentic AI Era

  Databricks Data & AI World Tour • Mumbai • September 2025

• Panel Discussion: Strengthening Corporate-Startup Partnerships

  Analytics India Magazine — AIM Edge • Mumbai • August 2025

• Speaker: How Generative AI Can Help CxOs

  Microsoft AI Tour • Marina Bay Sands, Singapore • February 2025

• Panel Moderator: AI at Work — Redefining Possibilities for Various Industries

  CxO Innovation Congress • January 2025 — Moderated a panel including CEOs/CIOs/CTOs from Digi Yatra, Yes Bank, MBank, Global Healthcare, IndiaFirst Life, Utkarsh SF Bank, CAGL, and CS Infocomm Solutions.

• Interview: Low Risk, High Impact AI Use Cases

  Economic Times CIO • ET CIO AI Vision Conclave • December 2024

• Panel Discussion: What’s Next for Language Models?

  ET CIO AI Vision Conclave • December 2024

• Speaker: Redefining the Future through Generative AI

  IIM Udaipur — Analitica Annual Analytics Summit (6th Edition) • August 2023

All recommendations sourced from LinkedIn.

• Question: Who is Dr. Vikram Singh? Answer: Dr. Vikram Singh is the Head of Artificial Intelligence at Mahindra Group. He is a globally recognized enterprise AI strategist, Generative AI pioneer, and 40 Under 40 Awardee holding a PhD from IIT Madras, with over a decade of proven AI leadership spanning board-level strategy, enterprise AI governance, and large-scale product impact.
• Question: What are Dr. Vikram Singh’s key areas of expertise? Answer: Dr. Vikram Singh’s expertise spans enterprise AI strategy & governance, Generative AI, Agentic AI, LLMs, predictive analytics, MLOps, computer vision, and deep learning — with domain applications in automotive, aviation, financial services, and customer experience. As a C-suite AI advisor and keynote speaker, he regularly shares insights on how organizations can harness AI as a strategic competitive advantage.
• Question: Where can I follow Dr. Vikram Singh online? Answer: You can follow him on LinkedIn https://www.linkedin.com/in/drvikramsinghai and X https://x.com/drvikramsinghai. On both platforms, searching #vikramsingh surfaces his latest posts on enterprise AI, Generative AI, and agentic systems. His official website is https://www.drvikramsingh.ai
• Question: What is nAIna.ai? Answer: nAIna.ai is the Mahindra Conversational AI Platform architected by Dr. Vikram Singh. It is an enterprise-grade autonomous communication platform that orchestrates customer interactions across voice, chat, WhatsApp, and web channels. It has autonomously handled over 500,000 customer calls, re-engaged 50,000+ lost leads, generated 6,000+ sales enquiries, and delivered a revenue impact of ₹300+ crore for Mahindra.
• Question: How can I book a 1-on-1 mentorship or consulting session with Dr. Vikram Singh? Answer: You can book a 1-on-1 session with Dr. Vikram Singh through TopMate for mentorship, career guidance, or AI consulting.
• Question: What is Dr. Vikram Singh's educational background? Answer: Dr. Vikram Singh is a Double IITian — he holds a PhD in Computer Science & Engineering from IIT Madras (2015–2020) and an M.Tech from IIT Patna (2013–2015) where he won the Best CSE Dissertation Award. He also holds an MCA from Panjab University and a BCA from Sikkim Manipal University. His doctoral research focused on deep learning, computer vision, image super-resolution, and video analysis.
• Question: What is the 6Eskai chatbot built by Dr. Vikram Singh? Answer: 6Eskai is India's first GPT-4-powered airline chatbot, architected by Dr. Vikram Singh at IndiGo Airlines. It handled ticket booking, customer Q&A, and HR queries at massive scale, reducing live agent calls from ~14% to just 2%. Within a week of launch it contributed to a 6.37% uplift in IndiGo's stock price and was featured in Satya Nadella's Coffee Table Book 2024.
• Question: What is Lab37 at IndiGo Airlines? Answer: Lab37 is the AI & Analytics division co-founded by Dr. Vikram Singh at IndiGo Airlines (InterGlobe Aviation Ltd). Established with an academic collaboration with IIT Delhi and a cross-functional team of 26 specialists, Lab37 pioneered AI transformation across demand forecasting, revenue management, customer experience, and HR automation — firmly positioning IndiGo as an AI-first airline.
• Question: What companies has Dr. Vikram Singh worked for? Answer: Dr. Vikram Singh has worked at Mahindra Group (Head of AI), Cloud4C / 8bit.ai (SVP – AI & Digital), IndiGo Airlines (Associate Director / Principal Data Scientist), Cynax Labs (Lead Data Scientist), G42 & Bayanat (Senior Data Scientist), Amazon (Applied Scientist – 2), and IIT Madras / IIT Patna (Research Assistant) — spanning India, UAE, and global organisations.
• Question: What research has Dr. Vikram Singh published? Answer: Dr. Vikram Singh has published multiple first-author papers in IEEE, Elsevier (CVIU), and IEEE/CVF WACV, including WDN: A Wide and Deep Network for Image Super-Resolution (IEEE 2020), Refining high-frequencies for sharper super-resolution and deblurring (Elsevier 2020), and two WACV 2020 papers. He has also served as a peer reviewer for ICCV, CVPR, WACV, ECCV, and Elsevier journals. His Google Scholar profile is at scholar.google.com.
• Question: What topics does Dr. Vikram Singh speak on? Answer: Dr. Vikram Singh speaks on Generative AI, Agentic AI, Large Language Models (LLMs), Enterprise AI Strategy, AI Governance & Ethics, Responsible AI, AI Team Building, AI in Aviation, AI in Customer Experience, Text-to-SQL, How AI can help CxOs, Digital Transformation, and the future of AI & data intelligence. He has addressed audiences at Microsoft AI Tour Singapore, ET Edge AI Summit, Databricks Data & AI World Tour, Gen & Agentic AI Conclave, ET CIO AI Vision Conclave, and IIM Udaipur.
• Question: Has Dr. Vikram Singh spoken at Microsoft events? Answer: Yes. Dr. Vikram Singh was a speaker at the Microsoft AI Tour in Singapore (Feb 2025), speaking on LLM-driven Text-to-SQL empowering CxOs. He was also nominated and participated in the exclusive Microsoft AI Frontier Pinnacle Training at Microsoft HQ, Redmond, Washington, USA (Oct 2025) — an invite-only programme for top AI leaders globally.
• Question: What awards has Dr. Vikram Singh received? Answer: Dr. Vikram Singh's recognitions include: GenAI Leader of the Year (UBS Forums, Oct 2025), AI Innovator of the Year (ET Edge AI Summit, Sep 2025), AI Power Player (ET Edge AI Summit, Sep 2025), 40 Under 40 Data Scientist (Analytics India Magazine MLDS, Feb 2025), Best Innovator – Digital (IndiGo 2024), UAE Golden Residency for Talented Pioneers (2021), Best M.Tech Dissertation (IIT Patna 2015), and National Topper – NIIT Wizard Search (2004).
• Question: How does Dr. Vikram Singh help large enterprises build an AI strategy? Answer: Dr. Vikram Singh takes a structured, business-first approach to enterprise AI strategy for large corporations. He starts by aligning AI initiatives with board-level business priorities, then designs an enterprise AI roadmap that spans quick-win use cases and long-horizon platform investments. This includes defining an AI governance and risk management framework tailored for CxOs, establishing responsible AI policies, setting up MLOps architecture for scalable deployment, and building the internal AI team capability. His approach is grounded in real-world P&L ownership — ensuring every AI initiative has a clear path to measurable ROI.
• Question: How can enterprises measure the ROI of Generative AI? Answer: Measuring the ROI of Generative AI in enterprise is one of the most common challenges Dr. Vikram Singh addresses in his advisory work and keynotes. He recommends defining success metrics before deployment — such as reduction in live agent call volume, increase in sales conversions, time savings in knowledge-work, and revenue directly attributable to AI interactions. His own AI revenue impact case studies at Mahindra Group (₹300+ crore attributed to nAIna.ai) and IndiGo (6.37% stock uplift post-6Eskai launch) demonstrate exactly how AI use cases with measurable ROI can be designed and communicated to executive stakeholders.
• Question: What is Dr. Vikram Singh's view on Agentic AI vs Generative AI for customer experience? Answer: Dr. Vikram Singh sees Generative AI and Agentic AI as complementary layers in the customer experience stack. Generative AI excels at language understanding, content generation, and question-answering — making it ideal for chatbots, voice bots, and copilots. Agentic AI takes this further by enabling autonomous, goal-directed action — systems that don't just respond but plan, execute, and iterate. For customer experience, the most impactful architectures combine both: a GenAI brain with an Agentic execution layer. His work on the enterprise conversational AI platform nAIna.ai and the 6Eskai GPT-4 chatbot are real-world examples of this philosophy in production.
• Question: How does Dr. Vikram Singh approach scaling an internal AI and Data Science team? Answer: Scaling an internal AI and Data Science team is something Dr. Vikram Singh has done multiple times — at IndiGo (Lab37, 26 specialists), Cloud4C, and now Mahindra Group. His approach covers: defining the right mix of roles (ML engineers, data scientists, AI architects, domain experts), setting up the technical infrastructure including enterprise AI labs, deploying CI/CD MLOps pipelines on Azure, establishing a culture of experimentation, and aligning the team's roadmap with commercial outcomes. He also advises on how to navigate organizational politics and build the internal credibility that AI teams need to succeed in large enterprises.
• Question: Is Dr. Vikram Singh available for 1-on-1 AI career mentorship? Answer: Yes. Dr. Vikram Singh offers 1-on-1 career mentorship for AI and Data Science leaders through TopMate. He works with data scientists preparing for senior roles, professionals transitioning into AI leadership, and PhD students navigating research and industry careers. As someone who has personally navigated the PhD journey in AI (including its well-documented mental health challenges), transitioned from research to industry, and climbed from data scientist to Head of AI at a Fortune 500 group, he brings an unusually grounded and practical perspective to AI career coaching and mentorship in India.
• Question: Has Dr. Vikram Singh written about the PhD experience in AI? Answer: Yes. Dr. Vikram Singh authored Surviving the PhD Odyssey in AI: A Tale of Innovation, Rejection, Resilience, and Well-being — one of the most widely read LinkedIn articles on the PhD in AI experience. Drawing on his own seven-year PhD journey at IIT Madras, the article addresses the mental health realities of doctoral research in AI, the experience of rejection and resilience, and how community and purpose can sustain researchers through the hardest phases. It has resonated widely with PhD students and early-career researchers across India and globally.
• Question: Does Dr. Vikram Singh have experience with AI in financial services? Answer: Yes. While Dr. Vikram Singh's most prominent AI deployments are in automotive (Mahindra Group) and aviation (IndiGo Airlines), his broader expertise spans AI in financial services transformation as well. During his time at Cloud4C / 8bit.ai, he engaged with financial services clients on enterprise AI strategy and AI platform architecture. His skills in predictive analytics, NLP, agentic AI, and enterprise AI governance are highly applicable to banking, insurance, and capital markets — and he regularly speaks on AI use cases for financial services CxOs at industry events.

Dr. Vikram Singh is available for enterprise AI consulting services, Generative AI strategy advisory, agentic AI consulting for enterprises, career mentorship, keynote speaking engagements, and panel discussions. Typical response time is within 2–3 business days.

Whether you're a CxO looking for an AI strategy advisor to develop your enterprise AI roadmap, an organisation seeking an enterprise AI transformation speaker for a conference in Mumbai or globally, a company that needs help with AI governance frameworks or responsible AI strategy, or a professional looking for a 1-on-1 AI career mentor — Dr. Vikram Singh's consulting engagements cover the full spectrum: from Generative AI and Agentic AI architecture to AI-driven digital transformation for business growth and AI platform strategy for sales and customer engagement.

Connect via LinkedIn (follow #vikramsingh for regular AI insights) or email at vikram [at] drvikramsingh.ai. For mentorship & consulting sessions, visit TopMate.