Mayank Sharma

I turn business problems into
AI products that deliver impact

Product-oriented AI professional with 5+ years delivering high-impact Generative AI solutions that drive measurable business value. I translate ambiguous problems into production-grade AI systems — from ideation and MVP development to deployment, evaluation, and iteration.

M.Tech CSE - Data Science, IIT Jammu · India

AI Product Management Product Strategy & Roadmapping KPI Definition & Evaluation Stakeholder Management User-Centric Problem Solving Published Researcher

Product Impact

End-to-End AI Product Ownership

Led full product lifecycle for GenAI systems — from problem discovery and roadmapping through MVP, deployment, and iteration. Defined success metrics, drove cross-functional alignment, and delivered products serving 10,000+ users daily with measurable business outcomes.

Product Roadmapping · KPI Definition · Agile Delivery

Strategic AI Consulting

Translated ambiguous business problems into scalable AI solutions for global enterprise clients across manufacturing, healthcare, and technology. Collaborated with stakeholders at all levels to align AI initiatives with organizational goals and drive adoption.

Business Problem Framing · Stakeholder Management · Enterprise AI

Research to Product Excellence

Bridged cutting-edge AI research and real-world product delivery — publishing at AAAI 2024 while shipping production systems at scale. Championed rigorous evaluation frameworks and knowledge sharing through Token by Token.

AI Evaluation · Prompt Engineering · Technical Communication

Token by Token

Understanding AI, ML, NLP, LLMs, and Real-World Generative Systems, One Step at a Time

Artificial intelligence doesn't think in moments of magic.

It learns, reasons, and generates outcomes token by token through math, data, and carefully engineered systems.

Token by Token is a technical platform dedicated to understanding modern AI from the inside out. From foundational machine learning concepts to large language models and real-world generative AI systems, this series focuses on how intelligence is built, not just how it appears.

This is not a collection of surface-level tutorials or trend-driven commentary.

Here, we slow things down.

We will explore how Complex ideas like neural networks, optimization, transformers, embeddings, attention, training dynamics, inference pipelines, and deployment trade-offs are broken into clear, intuitive steps. Each article builds on the previous one, helping you form a mental model of how intelligent systems actually work.

The goal is clarity, not intimidation.

There's no hype here. No shortcuts. No "black-box" thinking.

Just careful reasoning, solid engineering, and honest explanations,
built one concept, one decision, one token at a time.

If you want to move beyond using AI tools and start understanding the systems beneath them,
you're in the right place.

Welcome to Token by Token.

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Let's Collaborate

Whether you're looking for an AI Product Manager to own your GenAI roadmap, a consultant to translate business problems into scalable AI systems, or a thought partner on your AI strategy — I'd love to connect.

Open to AI PM roles, consulting engagements, advisory opportunities, and mentoring conversations.

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