San Francisco, California, United States
Full-stack engineer at Letter AI, which is a polite way of saying I'll touch any part of the stack if it makes the product better. Confession - I don't love my code. I don't love my tools. I love the moment everything converges, when the thing you built does the thing it was supposed to do, for the person it was supposed to help. That's what keeps me up. Started a blog at 14, tinkered with everything since, and somewhere along the way figured out I'm a product/customer person who happens to write code (scalable and clean code, for the record, I just won't lead with it). Mostly startup-shaped career, with one stop at Walmart search team as an IC to keep me honest. I strive to excel at any work I do, because I think with self love you love everything you do even work and I hate half-assing anything, especially work, whether that's being the school cafeteria cashier the kids genuinely liked, or a founding engineer at a Series B startup
• Developing high-performance, responsive customer features using Python, React, Redux, and TypeScript for sales enablement platform. • Implementing LLM-powered functionalities across text, image, video, and audio modalities, driving innovation in user experience.
Collaborated with 10+ engineers and data scientists to build internal merchandise tool that supported $160M monthly revenue from search Engineered data pipeline in Go migrating GBs of search records from BigQuery to MySQL/Redis using Cron with distributed locking and batching to ensure reliable data availability for downstream teams Developed REST APIs for dynamic ads and category features using Node.js and TypeScript with Redis/MySQL, supporting high-volume ad requests through database restructuring and cloud migration Enhanced merchandising panel UI in React with bug fixes, search functionality, filtering capabilities, and interface improvements while implementing comprehensive unit testing suite achieving 90% test coverage
http://efficient-tv.com/ Was building next-gen TV's and set-up boxes with multimodal Video AI (LLMs) while distributing media through blockchain based content fabric. (Radically simpler and faster than CDN) closed pre-revenue
https://comethru.com/ Led full-stack development of event planning and ticketing platform from 0 to market launch, building scalable infrastructure supporting 100k+ events monthly and contributed to product strategies by building microsite feature for wider market reach. Built dynamic and responsive UI components with React, Next.js ISR/SSR and context APIs, implementing event dashboards, theme variations, and multi-step forms with persistent data flow on Vercel. Architected GraphQL APIs for CRUD, RSVPs, and guestlist using Apollo, PostgreSQL to support 100k+ events monthly. Integrated third-party APIs (Twilio, Stripe, OpenAI) for invitations, payments, and content generation, reducing manual processes by 70%
Led backend development of marketplace platform and contributed to full-stack development of eSports social platform, building scalable APIs, search systems, automated workflows, admin panels and chat interfaces from inception to launch. Car Marketplace Led development with REST APIs, MongoDB, and Redis caching for auth, product listing, and bidding modules, supporting 100k+ users with sub-200ms response times. Implemented intelligent car search with faceted filters using Elasticsearch and React interfaces, improving conversion rates by 18% Built comprehensive CRM dashboard with sales reporting, call management, and RBAC using GraphQL APIs and TypeScript, increasing sales team efficiency by 60% Esports Social Platform Engineered automated round progression pipeline supporting 9+ tournament formats using Cron and AWS SQS resulted in eliminated manual tournament management and reduced operational overhead Built real-time chat feature with WebSocket and Redis profanity filter resulted in enhanced user engagement & eliminated moderation Built serverless image compression pipeline processing 20K+ images/day resulted in 30% storage cost savings on AWS Deployed microservices infrastructure to AWS EKS using Terraform and Github Actions resulted in 99% uptime and automated cloud infrastructure