Founding engineer building AI-powered veterinary practice management software, agentic workflows, and production SaaS systems. I help teams turn messy real-world operations into reliable software.
Not just code — I think in products. From architecture decisions to the final pixel, I own the full stack.
Go from zero to a working product in weeks. I've built entire SaaS platforms from the ground up — architecture, backend, frontend, deployment.
Production-ready AI systems — RAG with citations, LLM agents, MCP servers, tool-calling boundaries, clinical context generation, and intelligent automation pipelines.
Collaborative editing, WebSocket architectures, LiveKit/WebRTC audio, live data sync, and telephony integrations that scale under real-world conditions.
React/Next.js frontends, Node.js/Python backends, PostgreSQL, AWS infrastructure — complete systems built for production, not demos.
Forward-deployed onboarding, legacy workflow mapping, idempotent import scripts, audit tooling, and multi-location customer migrations.
Scoped credentials, server-side secrets, signed webhooks, access-controlled APIs, DRM systems, and security-focused architectures for sensitive workflows.
Production systems serving real users. Here's a selection of what I've shipped.
Built a complete veterinary practice management platform from scratch as founding engineer — clinical workflows, real-time collaboration, inventory, documents, billing surfaces, partner integrations, and multi-tenant architecture.
Built an AI-agent follow-up SaaS for automated post-visit calls — NestJS API, Next.js web, realtime telephony-to-LLM streaming, LiveKit/WebRTC audio, and deterministic workflow boundaries.
Canvas-based video player with real-time watermarking, tamper detection via Shadow DOM, and modular security architecture — built for content protection at scale.
Conversational search over patient records using pgvector embeddings, structured LLM responses, appointment metadata, and inline citations so clinical answers stay verifiable.
Battle-tested technologies I use to build production systems.
A streamlined process built from shipping real products.
Understand your problem, users, and constraints. Define what "done" looks like before writing any code.
Design the system for today's needs and tomorrow's scale. Tech choices that won't paint you into a corner.
Ship fast, get feedback, iterate. You'll see working software early and often — not just status updates.
Deployment, monitoring, and handoff. I make sure your product runs reliably in production.
I've worked as a founding engineer on an AI-powered veterinary practice management platform — owning backend services, Next.js product surfaces, clinical workflows, partner integrations, deployment infrastructure, and live production debugging.
Currently deep in the AI agent ecosystem — building RAG systems, MCP-style tool boundaries, multi-agent workflows, context engineering, LiveKit/WebRTC audio flows, and secure production integrations. I also work with Twilio, Node.js, React, PostgreSQL, and AWS infrastructure.
I'm based in Milpitas, CA and also commercializing agricultural tech in India. I understand startup speed, forward-deployed onboarding, and the messy migration work required to turn real customer operations into production software.
Have a product, AI workflow, or full-stack engineering role in mind? I'd love to hear what you're building.
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