About
A systems thinker with a product brain
I've always gravitated toward problems where engineering, intelligence, and real-world constraints intersect. What started as a curiosity for how things work turned into a career spent building products and platforms that make complex systems feel simple.
Now
Founder, Oogway Labs
I run Oogway Labs, an AI-native consulting and engineering firm. The stance is execution over hype: we build systems that hold up in production, and say so plainly when something won't.
Much of that work has been in healthcare: voice-first, workflow-aware AI systems that remove administrative friction for clinicians. It spans system architecture, multi-agent intelligence, voice interfaces, and the operational realities of deploying AI in clinical environments.
Before
Before that: Senior Technical Product Manager, Ather Energy
I led the Connected Vehicle Platform and Data & AI product strategy through Ather's fastest growth phase, from 25,000 to 600,000+ EVs on the road. That meant owning the vehicle connectivity platform behind real-time telemetry, customer experience, and operations; building data products used across vehicle software, R&D, service, and customer teams; and driving AI/ML work like predictive maintenance and support automation, with teams spanning data engineering, data science, product, and engineering.
Earlier
A first startup, and the data work before it
Before Ather, I co-founded Krayen as Chief Product Officer and built a data-driven CRM from zero to market: product vision, architecture, go-to-market, and the core data infrastructure. It ended in a successful exit, and taught me what separates products that ship from products that stall.
I started out as a data scientist at Convergytics and a product manager at Blik.ai, working across e-commerce, retail, and supply chain, where I designed data platforms and product systems that improved clarity, speed, and operational decision-making.
These roles shaped how I approach problem definition, system architecture, and delivering intelligence that works in the real world.
Method
Where intelligence meets execution
I focus on clarity, precision, and real-world usefulness. I enjoy working end-to-end:
- defining problems
- shaping system and data architecture
- building AI-native products
- refining interfaces that tie everything together
I bias toward shipping, learning, and continuous improvement — always grounded in how people actually work.
Writing
Why I write
I'm constantly exploring the edges of applied AI — voice interfaces, multi-agent systems, workflow design, and the mechanics of building intelligence that actually holds up in the real world.
I write to clarify my thinking: short pieces on product intuition, engineering systems, and signals from the AI landscape. This site is where I publish that exploration.
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