AI product engineering and technical product marketing

I build AI products end to end.

Model behavior, product state, APIs, deployment, reliability, and the writing that helps people use what ships.

West Chester, Pennsylvania U.S. citizen Remote Founder-style ownership

Selected work

Products and technical artifacts you can open, inspect, and use.

01Founder / sole builderAI audio

StemsAI

A self-serve audio-separation product that turns long-running model inference into a flow people can understand, pay for, and recover.

I built

Model orchestration, job state, credits, limits, secure output delivery, deployment, observability, and recovery.

The hard part

Making asynchronous, variable work legible without exposing the queue or leaving failed jobs as support tickets.

StemsAI product interface showing the audio separation workflow
Imersa controller prototype showing an overview for connected lights, rooms, and scenes
02Creator / core engineerLocal systems

Imersa

An open local runtime for connected devices, rooms, deterministic scenes, and auditable automation.

I separated the reusable orchestration layer from private Flow HiFi and Flow Music products, then rebuilt the core on a clean TypeScript history with typed capabilities, inspectable plans, scoped execution, idempotency, and exact partial-failure results.

Sona website describing its ocean acoustic review program and evidence standards
03Creator / lead builderOcean acoustics

Sona

An ocean acoustic intelligence research program that turns long-duration underwater recordings into a reviewable account of what warrants attention and why.

Designed for marine research and monitoring teams, with authoritative source records, explicit uncertainty, and attributable review history.

04Co-founder / lead engineerAI & ML engineering

YourLeadAI

Full-stack AI and machine-learning engineering, from chatbots and agents to predictive systems, computer vision, custom model work, data pipelines, and MLOps.

My role

Product direction, solution architecture, model selection and development, full-stack implementation, integrations, evaluation, deployment, and production operation.

The constraint

The technical depth has to match the problem: integrate a capable model when sufficient, adapt one for the domain, or train from scratch when the objective requires it.

YourLeadAI website with the headline Every layer of AI. Built for the problem.

More evidence

Infrastructure practice and a complete developer-writing sample.

Simplified topology for Tarun Pandit’s network and security lab
05Infrastructure

Network and security lab

A self-operated UniFi and Mellanox environment with segmented traffic, Wi-Fi 7, Protect cameras, monitoring, and documented topology.

06Developer education

Build a reliable Firecrawl scrape client

A TypeScript guide that starts with one request, then adds typed responses, retry boundaries, caching, privacy, and useful errors.

Read the guide

I’m open to hands-on AI product engineering and technical product marketing roles.

[email protected]