Hi, I'm Satish.
Senior AI Product Engineer driving 0→1 products end to end.
I take ambiguous customer requests, design features against real model and product constraints, ship reliable AI systems, and stay accountable after deployment — feedback, failure modes, and the next iteration included.
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
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
0→1 Professional Intelligence Product
An end-to-end AI product: from the customer pain of fragmented work context to evidence-backed memory, HITL review, Temporal recovery, and a shippable professional intelligence layer.
PrimeLife OS
0→1 Personal Intelligence OS
A 0→1 AI product exploring personal operating systems — goals, plans, and next actions grounded in evidence, designed within local/context limits rather than chatbot defaults.
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.
Open to Senior AI Product Engineer roles and ambitious 0→1 collaborations — products that need someone who can own the full loop.