Neetish

AI Product Manager — turning AI ideas into scalable products.

Experimenting and documenting AI ideas into clean, practical, scalable products.

Curiosity. Collaboration. Creativity.

With 17+ years in product, I now dedicate my personal research to the intersection of LLMs, automation, and full-stack AI systems.

I have been obsessed with AI for the last five to six years, with a strong focus on generative and agentic AI in the last two to three years. I thrive in complex environments, turn ambiguity into clear product decisions and drive teams from first concept to launch. I focus on shipping products that scale, earn trust and create measurable impact.

01

Product Vision

17+ years of building. I bridge the gap between abstract business goals and concrete technical execution.

02

UX Obsession

User-first approach. I believe AI should feel invisible, intuitive, and relentlessly helpful.

03

Execution

From zero to revenue. I don't just strategize; I ship products that scale and solve real problems.

Background & Learning

Trained in computer applications and management, with postgraduate education from Symbiosis University, Pune, and IIM Lucknow. Over time, formal education has evolved into continuous learning through building products, experimenting with AI systems, and leveraging modern online learning platforms.

Learning Stack

Applied AI and product systems, learned through building, experimentation, and continuous iteration on real problems.

Recent activity

All updates →
GitHubSep 8

Pushed to neetishtewari/superfit

Committed code (+3 more updates)

GitHubAug 18

Pushed to neetishtewari/fickEd

Committed code (+5 more updates)

ThoughtJul 30

Beyond Chunks: Why I'm Rebuilding My Document AI Stack

Building AI products is humbling. Every few months, something arrives that makes you question the assumptions your last project was built on. Last year, I built

Project28th May

Launched "Superfit"

Superfit is an AI-powered, privacy-first Android health companion with speech-to-text nutrition logging and telemetry aggregation.

Featured Project

Superfit

An AI fitness companion that understands what you eat in any language. Just speak naturally — tracking your health has never been this easy.

My AI Research & Capability Lab

Exploring the intersection of Generative AI and Product Strategy.

AI Strategy & Workshops

I document frameworks for helping teams bridge the gap between AI hype and practical business application. My research focuses on how organizations can move from curiosity to implementation through structured discovery.

Product Audits & ROI Analysis

I experiment with methodologies to audit workflows and data structures. My goal is to identify where Agentic AI and automation can deliver measurable impact and solve "The Risk of Not Investing" (RONI).

Rapid Prototyping (MVPs)

I build "proof-of-concept" products to explore how quickly a founder's vision can be turned into a functional, scalable AI-powered tool. This is my playground for testing speed-to-market strategies.

Automation Engineering

I design and share internal experiments focused on AI-driven workflows across documents, finance, and operations, pushing the boundaries of what invisible, intuitive AI can achieve.