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Let’s build something that matters.

I take on a few engagements at a time — where I can own a real piece of the problem and ship something that has to work on a Tuesday morning, not just in a demo.

Currently available ~20 hrs / week · response within 48 hrs
Resume (PDF)

Four ways I can help.

AI engineering & agents

Building AI systems that work beyond the demo — agentic workflows, retrieval-augmented generation, tool-use patterns. The hard part isn't calling the API, it's making it reliable.

Backend & distributed systems

Event-driven architectures, database design, queue-based workflows. Systems that handle failure gracefully and scale without drama.

Full-stack product work

From schema to screen. TypeScript, React, Node.js, PostgreSQL — shipping end-to-end, not just one layer.

Architecture & advisory

The decisions you make in week one compound for years. I help teams get the foundations right — or fix the ones that aren't.

Domain expertise.

Five years of production code across four industries. Each taught me something the next couldn’t.

Healthcare / HealthTech

Cerner (Oracle Health), Clipboard Health

FHIR compliance, clinical data pipelines, EHR integrations.

Data Privacy & Compliance

CommandK

GDPR, DPDP, PII detection and automated remediation.

Blockchain / Web3

Mensari

Transaction indexing, DAO governance, on-chain analytics.

Enterprise SaaS

Saltmine

Space planning, capital projects, complex domain modelling.

How it works.

  1. I

    Send a message

    Tell me what you're building and what's broken.

  2. II

    Discovery call

    You describe the problem, I ask uncomfortable questions.

  3. III

    Proposal

    Scope, approach, timeline, rate. No surprises.

Start a conversation.

Fields marked with asterisk are required.

  • AI / agentic system build
  • Backend or full-stack project
  • Technical advisory
  • Architecture review
  • Something else

Include budget range and timeline if you have them — it helps me respond faster.

Frequently asked.

Agentic systems, RAG pipelines, LLM integration into real products. I focus on the gap between 'works in a notebook' and 'runs in production' — structured outputs, eval frameworks, cost management, graceful degradation when models fail. I use the Anthropic and OpenAI APIs, LangChain when it fits, and raw API calls when it doesn't.

TypeScript and Node.js for most backend/full-stack work. Python for ML and data pipelines. PostgreSQL, Redis, AWS. React on the frontend. I don't chase frameworks — I pick what's proven for the problem and what the team can maintain after I leave.

IST (UTC+5:30), based in India. I've shipped production code async with teams across US, Europe, and Asia — timezone hasn't been a bottleneck.

2+ weeks for project work. Shorter for architecture reviews or advisory. I scope tightly and deliver in iterations, not big reveals.

The case studies at /work show real systems — a PII detection engine using LLMs, event-driven blockchain indexers, zero-downtime migrations at scale. Happy to walk through specifics on a call.