Building products, teams
and intelligent systems.
Engineering leader, architect and founder working across mobile, agentic AI, connected systems and Physical AI.
15+ years building products, platforms and engineering teams.
I don't ship features.I ship systems.
Architecture, teams and product decisions treated as one connected system — because that's what survives contact with reality.
100+ products, shipped end to end.
Mobile, backend, cloud and connected platforms across healthcare, consumer and enterprise. Fifteen years of shipping, not slideware.
Scale is when the system keeps moving without you.
Build the structure, standards and operating rhythm that let teams execute, make decisions and compound progress without depending on constant intervention.
Founder, three times.CTO, three times.
Zero to one under real constraints: no budget, no certainty, no room for theory. Product, capital and engineering in the same head.
AI in production, not in demos.
Agents, retrieval, tool use, evaluation and context engineering — designed around human review and real accountability.
The messy middle is the job.
Ambiguity becomes a prototype. A prototype becomes a system. A system becomes scale. Most of the value is created in between.
One long-running system.
Engineering, applied AI, products and startups — different surfaces of the same practice: turning uncertainty into something operable.
The work behind the story.
A few things I've helped turn from ambiguity into something real.
100+ products and applications shipped across enterprise, startups and products I've founded.
A few representative builds.
Payer Migration Intelligence
AI-native migration and validation for complex payer platforms, designed around explicit exceptions and human review.
Engineering & Applied AI Leadership
Automating complex mappings and rules without turning ambiguous outputs into silent production decisions.
Separated deterministic transformation, AI validation and exception handling into a workflow where people remain accountable for decisions that require judgment.
Connected Systems
An OEM product platform spanning physical sensing hardware, firmware, mobile applications and cloud services.
Connected Product Architecture & Engineering Leadership
Different runtimes, release cycles and physical constraints had to feel like one reliable product.
Defined the contracts connecting hardware, firmware, mobile and cloud, while creating reusable platform capabilities for OEM and partner experiences.
Research Discovery at Scale
A personalized research-discovery product helping researchers find relevant scientific literature through mobile, search and AI-assisted recommendations.
Mobile & Product Engineering
Discovery only works when relevance, speed and reliability arrive together. Weak search, slow data paths or fragile mobile behavior immediately become product problems.
Reworked mobile discovery, caching and search integration around the real usage path while connecting personalization and backend retrieval into a more predictable experience.
Marketplace From Zero to Scale
A bootstrapped consumer marketplace built from zero to approximately 500K users across India, the UAE and Southeast Asia.
Founder & CTO
No budget, no established supply or demand, and no certainty that either side of the marketplace would exist at meaningful scale.
Started with the smallest useful product, used real market behavior to guide engineering decisions, and expanded the platform as demand earned additional complexity.
Longitudinal Health Intelligence
An AI-native health product designed to turn fragmented wearable, lifestyle and lab data into longitudinal context a person can actually use.
Founder & CTO
Health signals are noisy, personal and continuous. Insight becomes useful only when current measurements are understood in the context of history.
Designed the product around a persistent health state, retrieval and longitudinal context rather than isolated dashboards or one-off AI interpretations.
Private AI Memory
A native iOS memory product where capture, transcription, semantic retrieval and personal context stay on the device.
Founder & CTO
Useful personal AI wants context, but the most useful context is often the data people least want to send somewhere else.
Built the memory architecture around local transcription, storage, embeddings and semantic retrieval so privacy is part of the system rather than an option layered on top.
Different products.The same instinct.
Find the hard part. Make it understandable. Build the system around it.
A few stories deserve a closer look.