Tarun S. Pandit Email

AI product engineering / technical product marketing

Tarun S. Pandit

I build complex AI and automation systems, then make them understandable enough to adopt.

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  • West Chester, Pennsylvania
  • U.S. citizen
  • Remote-ready

Two role lenses

One body of work, presented for the job at hand.

01

AI product engineering

Full-stack product ownership, model workflows, queues, billing, API integrations, deployment, and production support.

Download engineering resume

02

Technical product marketing

Technical positioning, product demos, onboarding, documentation, customer discovery, and developer-product narratives.

Download product marketing resume

Selected work

Proof that connects product, engineering, and adoption.

Case study 01 / AI product

StemsAI

A self-serve AI audio product built from model workflow to billing and production operations.

Problem
Turn a multi-step audio separation workflow into a clear product for non-expert users.
Built
Frontend, backend, inference queueing, progress states, secure delivery, credits, limits, deployment, and observability.
Owned
Product decisions, model evaluation, engineering, reliability, support language, and iteration.
Open StemsAI
StemsAI system and product workflow illustration

Case study 02 / Client automation

YourLeadAI

Client-specific automation that connects lead capture, qualification, follow-up, booking, and business systems.

Problem
Reduce the operational gaps between websites, chat, calendars, CRMs, and human follow-up.
Built
Automation workflows, AI chatbots, API integrations, data routing, booking flows, deployment, and testing.
Owned
Technical discovery, architecture, implementation, product explanation, and iterative client delivery.
Open YourLeadAI
Lead automation routing workflow illustration

Additional proof / Infrastructure

Network and security lab

Designed and operated a UniFi environment with a UXG Pro gateway, enterprise Mellanox switching, Wi-Fi 7 access points, segmentation, Protect cameras, and maintainable topology documentation.

Network topology illustration

Working approach

Useful ownership, without ceremony for its own sake.

  1. 01

    Find the real workflow

    Understand the user, constraints, handoffs, and failure points before choosing a solution.

  2. 02

    Ship the whole path

    Connect product decisions, implementation, deployment, communication, and support.

  3. 03

    Tighten from evidence

    Use production behavior, user questions, and operational friction to drive the next iteration.

Contact

Looking for high-ownership remote work.

Best fit: AI product engineering or technical product marketing for developer, infrastructure, automation, or applied AI products.

tarun@tarun.cloud LinkedIn GitHub