Hi, I'm Satish.
Senior AI Product Engineer driving 0→1 products end to end.
I help startups and engineering teams turn complex ideas into working products—from AI architecture and agent workflows to backend systems, integrations, and deployment.
Open to select consulting engagements, technical collaborations, and senior engineering opportunities.
Currently
Building AI-native products where persistent context, agent workflows, and reliable backends turn messy professional and personal work into systems people can actually trust.
How I Ship 0 → 1
AI products fail when engineering starts at the API call. I start at the customer outcome, design within what models and the current product can honestly deliver, then own the system after it hits production.
Listen
Turn customer requests into the real job-to-be-done — not a feature wishlist.
Design in constraints
Shape the solution around model limits, latency, cost, trust, and what the product can already do.
Ship the thinnest useful system
Prove value with a reliable vertical slice before expanding autonomy or surface area.
Own the aftermath
Deploy, watch failure modes, gather feedback, and iterate until the outcome is durable.
Explore
Work With Me
Ways I can help teams build, improve, and ship AI products and backend systems.
Expertise
How I think about AI product engineering, agents, backends, and shipping under constraints.
Projects
Selected 0→1 products, AI systems, and engineering work that show end-to-end ownership.
YouTube
Technical explorations, builds, and engineering content.
Blog
Long-form notes on agents, tokens, context, recovery, and shipping AI products.
Selected Work
ProfMe
Professional memory grounded in evidence
A professional intelligence product that turns meeting evidence into structured, reviewable memory and context for later work.
PrimeLife OS
Personal context that can survive a network outage
A personal-intelligence prototype built around local SQLite state, durable sync operations, and an authenticated AI execution service.
Sovereign Intelligence
Product Architecture for Owned Intelligence
An architectural product thesis: design AI capabilities around ownership, evidence, and trust boundaries — so the product stays useful without surrendering the user's source of truth.
About Me
I'm a Senior AI Product Engineer with 6+ years building backends, SaaS, mobile apps, and AI-native systems — now focused on taking intelligent products from first customer signal to production ownership.
That means product sense and systems thinking together: what should the model do, what must stay deterministic, how we recover when it fails, and how we learn from real usage after launch.
Let's ship something that lasts.
For a new product, a system that needs improvement, or a senior engineering opportunity, start with a short note about the problem.