Hi, I'm Aditya Gangwani. I'm a Product Manager building AI-native products — I take ambiguous problems, define the strategy, design the experience, and lead the build to a shipped, tested, real-user system.
Currently a Product Management Intern at Computer Software Solutions. Creator of Prodily (400+ users) and FeatureSmith (v0.2.0 dataset review platform) — and builder of RallyVerse, a live sports event registration & operations platform.
Product Manager & AI Product Builder
Product Management Intern
@ Computer Software Solutions · Sep 2026
A product manager who can understand and build the technology behind AI products — leading discovery, architecture, and roadmaps end-to-end.
Most people specialize early in either pure product management or technical engineering. I operate at the intersection — combining strategic product thinking with the technical ability to actually build systems.
Product discovery and customer insight guide how I define strategy. Technical depth gives me the ability to architect complex AI products, evaluate technical trade-offs, and build key infrastructure myself.
Across AI revenue intelligence, developer tools, PM learning platforms, and sports marketing software, I optimize for 0 → 1 product execution — taking ideas from raw ambiguous problems to deployed, validated systems.
I optimize for the entire workflow — from customer discovery and PRDs to scalable product architecture.
Working as a Product Management Intern on accounting/ERP products. Authoring BRDs and PRDs, and translating client and business requirements into structured feature and scope documentation.
Open to discussions globally. Working on IST (UTC+5:30).
B.E. Electronics & Communication Engineering (2023 - 2027) · CPI 7.96/10.0
The product-building loop I apply to every project — from discovery to strategy to shipped product — keeping execution fast without sacrificing quality.
Turning ambiguous problems into structured product opportunities. Proven by IntelAbroad's 7,000+ lead lifecycle mapping and Prodily's 90-lesson curriculum design.
Defining what to build, for whom, and why — then sequencing into PRDs and roadmaps. Demonstrated by leading ARIP's 0-to-1 product architecture at SOYL AI and BRD/PRD authorship for ERP products at Computer Software Solutions.
Understanding and building the technical architecture behind AI products. Demonstrated by ARIP's AI agent workflows and FeatureSmith's developer-first library.
Taking ownership from first line of code to a live product with real users. Focused on public shipping and high execution speed without sacrificing quality.
In-depth breakdowns of product strategy, engineering challenges, and quantitative outcomes.
A structured Product Management learning platform designed around lessons, modules, PM competencies, skill development, quizzes, and portfolio-oriented artifacts.
Learning Product Management is fragmented across courses, articles, frameworks, and disconnected resources. Learners need a structured path that connects concepts with practical product work.
Independently launched a 0-to-1 PM learning platform, owning product strategy, curriculum design, UX, full-stack development, and go-to-market execution end to end.
An open-source, developer-first toolkit for understanding, validating, and improving structured data.
Machine-learning datasets often lack the engineering discipline applied to software code. Missing values, schema changes, leakage, duplicates, and distribution problems can silently degrade models before expensive training begins.
Built a deterministic dataset review engine powered by Polars with 8 automated reviewers, an explainable 0–100 ML Readiness Score, 6 leakage pattern detectors, dataset snapshot diffing, a Python SDK, CLI workflows, and deterministic CI/CD exit-code gating.
A sports event registration and tournament management platform built for sports event organizers, academies, and clubs.
Grassroots sports organizers often manage registrations, payments, participant communication, attendance, and event operations through disconnected manual workflows.
Built the systems behind sports events, including dedicated registration pages, UPI payment verification workflows, organizer dashboards, participant management, automated email communication, event-day check-in, attendance tracking, and event performance analytics.
Selected machine learning models, computer vision systems, and autonomous agent releases.
An end-to-end AI-powered DevOps intelligence platform that analyzes repositories, audits CI/CD pipelines, provides cost optimization advice, detects runtime errors, and generates pre-deployment risk briefings through a unified authenticated dashboard.
A Telegram-based personal AI assistant backend powered by FastAPI, Groq with NVIDIA fallback, and Google Workspace APIs for Gmail, Calendar, and Drive.
A contextual multi-armed bandit framework for dynamically optimizing credit-limit decisions using user context, delayed feedback, and economic simulations.
A production-style analytics pipeline that turns raw retail CSV/Excel data into SQL-backed business analytics, trained ML models, evaluation reports, ROI analysis, and a live Next.js dashboard.
Built an AI-powered multi-stage image-processing and OCR pipeline for appliance troubleshooting at Samsung R&D Institute India, focused on extracting error codes from appliance displays.
A team research project implementing deep reinforcement learning for dynamic power allocation in a Cognitive Radio Network under Nakagami-m fading channels.
A reinforcement learning study comparing TD3 and DDPG for continuous control in a custom 2D racing environment, demonstrating that higher reward does not necessarily imply safer or more stable policies.
A custom reinforcement-learning racing environment where a TD3 agent learns to drive an F1-style circuit using only a compact state representation and reward signals — without human driving data.
Machine-learning classification application for predicting mobile phone price ranges from device specifications.
Machine-learning project for classifying email messages as spam or non-spam.
Classical machine-learning regression project for predicting Boston-area house prices from tabular features.
My career timeline highlighting key roles, business impact, and key engineering/product contributions.
Selected highlights across AI engineering, product building, open-source contributions, and community leadership.
Grew a 0-to-1 PM learning platform, launched independently, to 400+ users across 90 lessons and 9 modules.
Workshops, hackathons, and STEM programs coordinated as IEEE SB Vice Secretary.
2,800+ IEEE event attendees and 500+ sports community members across Bengaluru.
Passing unit tests with strict MyPy type checking and automated CI/CD exit-code gates.
Real-time error code extraction from appliance displays with early-exit latency optimization.
Section-wide programs linking student branch representatives across engineering colleges.
Thompson Sampling bandit framework outperforming static credit baselines in economic simulation.
Technologies, frameworks, and methodologies organized by core functional domain.
Computer vision pipelines, OCR extraction, reinforcement learning bandits, feature engineering & open-source ML tools.
REST APIs, asynchronous services, Python SDK development, CLI tools, and secure database integrations.
Production Next.js web applications, responsive component design systems, state management, and dark UIs.
Product discovery, PRD authorship, roadmap prioritization, RICE frameworks, customer research, and AI product architecture.
CI/CD pipeline exit-code gating, automated testing, static analysis, and cloud deployments.
Relational database schema design, data profiling, dataset review engines, and data isolation.
Agile sprint management, Notion workspace coordination, Figma UI prototyping, and git workflows.
Writing on AI engineering, open-source tooling, product strategy, and building 0→1 products.
There are some experiences that change you not because something extraordinary happens, but because they quietly force you to confront parts of yourself you’ve been avoiding. For…
When people talk about social service, temples rarely come up in the conversation. People usually think of NGOs, charities, volunteer organizations, or fundraising drives. Temples…
An Italian phrase made me question something many of us have quietly accepted: why does doing nothing feel so wrong? A few weeks ago, I walked into a café carrying something I had…
A few weeks ago, I came across an episode from Monkey Magic’s Melodies of India series. The episode wasn’t really about Gangotri. It wasn’t about the Himalayas. And it wasn’t…
An ancient Indian pilgrimage that has survived for centuries through faith, simplicity, and the kindness of strangers. In an age of bullet trains, instant deliveries, GPS…
Even if years pass, don’t lose faith. Reflections on the timeless bhajan “Rama Rama Ratate Ratate Beeti Re Umariya.” Recently, I came across a beautiful bhajan called “Rama Rama…
Continuously published on personal essays, product lessons, and technical architectures.
I'm open to Product Management and AI Product roles, as well as startup collaborations and interesting discussions.
Based in Bangalore · Available Globally
Response coordinates established within 24 hours.