Work
First engineer at a startup, platform engineer at scale, and now a founder. Tap any company to see what I built there, or read the full history on LinkedIn.
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2026–nowAxivion LabsIndependent AI Product Engineer (Founder)Production AI systems for startups: a multi-agent deal desk, an enterprise RAG assistant that took eval accuracy from 61% to 89%, and an agentic content pipeline. Details →
Jan 2026 – Present · Bengaluru
Building AI products and services. I ship our own AI products and build AI systems end to end, including problem discovery, architecture, deployment, and evaluation.
What I did
- Deal desk: an AI sales team for inbound leads. Built a multi-agent system that qualifies leads, researches prospects, recommends pricing, and drafts personalized replies. It handles first-touch qualification, follow-ups, and pricing negotiation across 1500+ leads a month, saving ~25 hours a week of manual sales-ops work.
- Knowledge assistant: answers you can trust. Shipped an enterprise assistant over 12K documents with hybrid retrieval, re-ranking, metadata filters, and role-based access. Answer accuracy rose from 61% to 89% on a 200-question eval set, with Langfuse tracing and cited sources.
- Content pipeline: from keyword to published post. Designed an agentic pipeline for a MarTech client covering keyword research, planning, writing, SEO, CMS publishing, internal linking, and distribution. Output grew from 8 to 60 pieces a month at ~30% of the previous cost per piece.
- Evals and plumbing: the unglamorous half. Built the agent evaluation pipeline on Langfuse that traces every run and regression-tests task success, tool-call accuracy, retrieval relevance, and answer grounding before a prompt change ships. Underneath, FastAPI services on Amazon Bedrock handle inference, async jobs, and tool execution with rate limits, retries, and structured outputs.
Stack
PythonFastAPILangGraphClaude / OpenAIMCPRAGpgvectorPostgreSQLRedisLangfuseAmazon BedrockDocker
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2024–2025WrikeSenior Software Engineer II, AILed AI Portal, an internal RAG system serving 10k+ queries a day, and built Herald, an MCP server that feeds company context to AI coding tools. Details →
Nov 2024 – Dec 2025 · Bengaluru
Wrike makes work-management software. I built the AI tools its own teams used every day, and shipped full-stack features on the core product.
What I did
- AI Portal: ask the whole company a question. Led the build of an internal RAG system on Google Vertex AI that answers questions across company knowledge, codebases, and support docs. It served 10k+ queries a day and cut the time it took people to find answers by 65%.
- Herald: company context for AI coding tools. Designed and shipped an MCP server that gives AI-powered IDEs our project guidelines, review standards, internal docs, and coding conventions, so their suggestions follow the team’s own standards. Through the ESLint 9 upgrade, the new dialog system, and the IconV2 migration, it cut the frontend team’s manual work by 90%.
- App Marketplace: safe doors for third-party apps. Built the integration services behind Wrike’s App Marketplace: OAuth 2.0 authorization, webhook-based event processing, and REST connectivity, so outside apps could plug into customer workspaces securely. Also shipped core-product features end to end and mentored developers on engineering practices.
Stack
Vertex AIRAGMCPOAuth 2.0TypeScriptReactNode.js
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2021–2024AirmeetSenior Software EngineerCore platform for live events at 100k+ concurrent attendees. Led the GenAI initiative: event generation, session summaries, and real-time translation. Details →
May 2021 – Oct 2024 · Bengaluru
Airmeet is a platform for virtual and live events. I was on the core platform team, working on architecture and performance, and led the company’s GenAI initiative.
What I did
- Core event platform: built for big crowds. Owned the architecture of the microservices behind every event, sustaining 100k+ concurrent attendees at sub-100ms session latency on AWS Lambda, Redis, and Kafka.
- GenAI initiative: from proposal to production. Led the rollout of GPT-4 event generation (60% faster event setup), automatic session summaries (500+ hours a month), Whisper-based live translation and transcription, and semantic matching for networking rooms.
- Performance program: faster events for everyone. Cut event load times by 45% with code splitting and tree shaking, improved FCP and LCP across the product, and set the frontend performance standards the team built on.
- On the line during live events. Diagnosed and fixed production issues across Firebase, backend APIs, and the real-time systems while events were running, often working directly with enterprise customers so their event went out without a hitch.
Stack
ReactTypeScriptNode.jsJavaReduxKafkaRedisAWS LambdaFirebaseGPT-4Whisper
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2020–202191WheelsFounding Software EngineerFounding engineer working with the CEO: built the marketplace end to end (frontend, backend, and AWS), an in-house CRM, and lead integrations, then moved the site to Next.js with Elasticsearch search. Details →
Jan 2020 – May 2021 · Gurugram
91Wheels is an automobile marketplace for listings, reviews, and leads. I joined as a founding engineer, worked directly with the CEO on what to build, and built the platform and its internal tools from the ground up.
What I did
- Founding engineer, working with the CEO. Worked side by side with the CEO to turn business goals into product: deciding what to build first, scoping features, and shipping them end to end.
- The whole stack, from scratch. Built the listing, review, and lead-generation platform end to end: the frontend in React, the backend and REST APIs in NestJS with MySQL and Redis, and the entire AWS setup it ran on.
- An in-house CRM. Built the CRM and lead-management modules that hold every vehicle and lead record, and that serve as the backend for the frontend.
- Lead integrations. Integrated lead sources into the platform so incoming leads flowed straight into the CRM, without manual entry.
- Faster, findable pages. Rebuilt the site on Next.js for server-side rendering, and added Elasticsearch search across every vehicle and page.
Stack
ReactNext.jsNestJSExpressMySQLRedisElasticsearchAWSWordPress
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2019–2020FluxAuto (YC 2018)Software Engineer (Part-time)Part-time engineer: built the live GPS dashboard for the test fleet, and the internal tools and APIs that automated image annotation for the perception team. Details →
Nov 2019 – Sep 2020 · Bengaluru
FluxAuto is a Y Combinator 2018 startup in Bengaluru building self-driving technology for trucks. I worked there part time as a software engineer, building the web dashboards and backend services the engineering team used every day: tracking vehicles on the road, and preparing the image data their models trained on.
What I did
- Live vehicle tracking. Built a React dashboard that plotted each vehicle's GPS position on a map in real time, so the team could follow test runs live and review where a vehicle had been.
- Tracking backend. Wrote the Node.js and NestJS services that took in the GPS stream from the vehicles, stored it in SQL, and served it to the dashboard through APIs.
- Annotation automation. Built internal dashboards and API endpoints for the image-annotation workflow: getting camera images to annotators, tracking progress, and collecting the labels, replacing steps the team used to do by hand.
Stack
ReactNode.jsNestJSTypeScriptAWSSQL
Before all that: B.E. in Computer Science, Galgotias University, 2015–2019.