IIM Sambalpur undergraduate building AI-native products at the intersection of large language models, product strategy, and data-driven growth. Combining hands-on AI system design with market research, GTM execution, and business analysis to translate ambiguous problems into scalable, business-relevant solutions.
I build
Hypotheses become architectures. Architectures become agents. Agents become scalable platforms that solve high-friction user problems.
From prompt to platform.
From user friction research and PRD writing to full-stack prototyping in React, Three.js, and LLM orchestration. I bridge the gap between technical possibility and business value.
Raw models aren’t products until they have context, latency optimization, interface feedback, and reliable guardrails. I design systems that feel immediate, responsive, and genuinely helpful.
Having designed growth funnels and creator acquisition pipelines from early-stage startups to quantum computing outreach, I believe distribution must be engineered into the product experience itself.
Python, SQL, prompt engineering, Three.js spatial canvases, and statistical modeling. I believe the best product builders understand both the mathematical ground truth and the user experience.
I'd rather be standing there when it decides.
I don't believe in polite decks that protect average ideas.
I don't believe in vanilla.
I believe in things with a spine: products that are unmistakably themselves, built by people who give a damn about the details no one asked them to care about.
If you're building something that deserves to be remembered, let's talk.
I'm open to building brands, designing experiences and good conversations over a cup of coffee.
Raipur at heart, Sambalpur by address. When I’m not designing, you’ll probably find me chasing good food, art, music, books and conversations, or somewhere in the hills, enjoying rain, hugging trees...
A collection of AI-native platforms, growth pipelines, and product architectures built to solve real problems.
Explore my open-source code and experiments on GitHub.

Consolidating fragmented course, timetable and admin workflows into an AI-native agent operating system with spatial knowledge nodes.

Centralizing stakeholder pipelines, grant funding, events, and task monitoring with a Google Gemini AI layer, React 19, and Supabase RBAC.

Structuring multi-source company, geographic, and market data into searchable, evidence-based intelligence for high-stakes strategic planning.

Designing digital marketing and growth outreach in lockstep with development teams, analyzing funnel data to accelerate go-to-market timing.

Onboarding high-potential creator supply, driving competitive market research, and testing growth frameworks for an early-stage consumer platform.

Led end-to-end community initiatives, replacing manual coordination with unified volunteer communication systems across field operations.

Selected for McKinsey Forward; solved predictive churn modeling at BCG, and enterprise distributed systems at Walmart Global Tech and EA.
Contributed to the Fishery Programme with program analysis, structured reporting pipelines, and interactive executive dashboards.
Conducted legal research, compliance evaluation, and administrative documentation across organizational deliverables.
Undergraduate at IIM Sambalpur studying Data Science & Artificial Intelligence. Focused on translating ambiguous, high-friction user problems into elegant AI-native platforms, validated through rigorous user research and metrics.















Looks better on a bigger screen
To experience Pritam’s portfolio in its full potential, open it on a desktop browser.