The PM who ships it himself, from discovery to deploy.
Engineer-turned-PM with five years in tech. I came up writing production code, so I own products end to end, from discovery to launch, and partner with engineering and design as an equal. Pure PMs can't write the RAG pipeline; pure engineers don't run GTM. I do both.
Products I led end to end inside a company: roadmap, metrics, and cross-functional delivery.
An insights platform that replaced static PDF reports with interactive, role-based data exploration.
At Varahe Analytics, leadership and field teams ran on static PDF reports: slow to produce, impossible to interrogate, and stale the moment they shipped.
Decision-makers could not slice the data themselves. Every new question meant another report request and another wait, so insight stayed bottlenecked behind a document.
I led PRISM end to end, building interactive, role-based data exploration. I aligned engineering, data, and field teams around a single roadmap and shipped Phase 1 in six months. I now lead Prism AI, a natural-language layer built on a RAG stack.
A constituency-scale data platform built from scratch under a hard, immovable deadline.
For the South-West Graduates Constituency MLC election, a first-time candidate needed a data and outreach platform serving 85,000+ voters. Nothing existed.
Fast-moving, messy data had to become real-time insight, and a calling team had to be trained and measured, all before a fixed election date that would not move.
As Technical Head, I owned end-to-end delivery across engineering, field ops, and leadership. I built a custom LMS for the calling team and an automated pipeline that linked training to caller output and quality, so impact showed up directly in the data.
Founder-level builds I designed and shipped myself, from first commit to launch.
A context-aware RAG assistant with source-grounded answers, built end to end.
A founder build: an AI assistant that needed to answer reliably across a sprawling, heterogeneous body of source material.
Generic LLM answers were not trustworthy; responses had to be grounded in real sources and stay accurate as the underlying material kept growing.
I built a context-aware RAG assistant that returns source-grounded answers, backed by a data pipeline ingesting inputs from 100+ sources, shipped on a Flutter + Firebase stack.
A coach dashboard platform built hands-on with the founder, so she could scale past manual ops.
A solo coach was running her whole practice by hand. Scheduling, client tracking, and programming lived across spreadsheets and DMs, which quietly capped how many clients she could take on.
Growth was bottlenecked by operations, not demand. Without one place to manage clients and delivery, every new client added overhead instead of leverage.
I built the coach dashboard end to end, working directly alongside the founder: a full-stack platform to manage clients, schedules, and programming in one place, shipped fast and iterated against her real workflow.
Self-hosted thinking on building products, shipping under pressure, and the move from code to roadmap.
I started as a software engineer, hardening production systems and integrating APIs, then led backend delivery as a Team Lead, setting the coding standards, QA, and CI/CD that a product runs on.
That foundation is why I move fast as a PM. I own my product area independently, define the metrics that tell me whether it worked, and partner with engineering as an equal. Alongside that I take on founder-level builds, from a coach dashboard to a RAG assistant, and advise startups on product, GTM, and automation.