Shipping enterprise software, writing macro-aware product strategy, and building at the intersection of technical depth and user empathy.
Led end-to-end product discovery and requirements engineering for a live Enterprise Management System. Owned the roadmap across six modules. Reduced tooling costs ~65% and logging time ~80%. Drove organisation-wide adoption through acceptance testing and UX collaboration with engineering. This is where product thinking stopped being theory.
Managed 20–25 VIP client relationships including government officials across three districts. Coordinated 15+ government tourism packages across Darjeeling and North Bengal. This is where I learned that product problems are user-empathy problems in disguise.
I research, build, and ship. I think product is really systems thinking with a deadline — and the best PMs are the ones who understand the technology, the user, and the macro context their product lives inside.
I'm a CS engineer. My final-year project — Voltwheels EMS — was a live enterprise system shipped to a real EV company with 70–90 employees, where I owned the product roadmap across six modules: lead management, visit reporting, geolocation attendance, expense tracking, sales analytics, and an admin dashboard.
It reduced tooling costs by ~65% and logging time by ~80%. More importantly, it taught me that the best products aren't feature lists — they're workflow transformations. Once you've watched a real user save thirty minutes a day because of a decision you made on a Wednesday, you stop thinking in terms of features.
I co-author research in deep learning and human-centred AI (two IEEE papers, with more in progress). I read macroeconomics and geopolitics not for hobby points, but because the same shifts that move bond yields also reshape which products win.
Final-year project shipped to a real EV company. Co-built a full-stack EMS used by 70–90 employees, owning the product roadmap across six modules: lead management, visit reporting, geolocation attendance, expense tracking, sales analytics, and admin dashboard. Cut tooling costs ~65% and logging time ~80%.
View on GitHubIdentified that Zomato's fragmented ecosystem was losing weekend-planning intent to Instagram Reels — not Swiggy or BookMyShow. Proposed an AI-powered itinerary builder built on Zomato's taste graph. End-to-end case: TAM/SAM/SOM, three personas, feature spec, monetisation model, risk matrix.
Read the case studyFeature selection is a core ML problem — too many features degrade model performance. Built a PSO algorithm from scratch to identify the optimal feature subset that maximises classifier accuracy. No built-in optimisation libraries used — pure algorithmic implementation in Jupyter Notebook.
View on GitHubAnalytical products should hide complexity from the end user. Built a forecasting dashboard where a non-technical user uploads a CSV and receives a trend + seasonality breakdown via clean REST APIs powered by Meta Prophet.
View on GitHubCo-authored IEEE paper on ML-based stress detection through facial expression analysis with personalized mental health recommendations.
Co-authored deep learning spatial framework for early stroke detection using CNN-based medical imaging analysis.
QE, bond yields, geopolitics — they move the ground products stand on. PMs who read the macro see opportunities six months earlier than those who don't.
Products are workflow transformations. A feature shipped without a workflow shift is a tab on a settings page.
The interesting AI work in India isn't a wrapper over GPT — it's the integration with Aadhaar, UPI, and local language stacks. That's where the next decade gets built.
I'm looking for PM roles where I can own a product end-to-end — discovery to ship — preferably in AI, dev tooling, or fintech.
Fastest: email. I read everything in my LinkedIn DMs but reply faster to direct mail. Based in Bhubaneswar, IN — open to remote, hybrid, and relocation.