> status: 9_projects_active · stack: next-fastapi-tauri · role: full-stack-ai_
_
Full-Stack Software Engineer
Full-Stack Software Engineer with 3.5+ years building enterprise-scale AI systems and web applications — LangGraph agentic workflows, LangChain RAG pipelines, and Next.js frontends deployed on AWS for Fortune 500 healthcare clients.
- // 3.5+ years enterprise-scale software engineering
- // LangGraph + LangChain RAG — 47% process reduction at UHG
- // Python, TypeScript, Next.js, FastAPI, Go
- // Fortune 500 healthcare — HIPAA-safe, zero data leakage
- // 7 consumer products shipped solo — macOS, Electron, and web
// selected work
Projects that show how I think, build, and scale.
A macOS menu bar AI utility, a meeting overlay, a desktop dictation app, an AI job platform, a travel super-app, a language-learning app, and an AI collaboration starter.
// experience
Enterprise AI rigor on one side, independent product energy on the other.
Current and past work shaped how I build across AI systems, product engineering, cloud infrastructure, and frontend delivery.
Aug 2023 – Present
@ UnitedHealth Group
// Building production Agentic AI workflows and on-premise RAG systems for Fortune 500 healthcare — LangGraph pipelines, HIPAA-safe document processing, and the Next.js Bot Center managing 200+ bots.
- - Architected a production Agentic AI workflow using LangGraph and Python, implementing cyclic state management and multi-turn reasoning that cut manual process handling by 47% across autonomous agents running complex multi-step healthcare tasks.
- - Built and deployed a fully on-premise RAG pipeline using pgvector and Chroma with quantized Llama 3 and Mistral models served via FastAPI, processing 40+ HIPAA-sensitive document workflows daily with zero external data exposure.
- - Launched Bot Center, a Next.js/React.js centralized robotics management platform, automating operations for 200+ bots with real-time health dashboards and reducing operational overhead by 35%.
Sep 2020 – Sep 2021
@ Wipro
// Cloud infrastructure modernization, RESTful microservices, and React frontend delivery — achieving 99.9% uptime SLAs and measurable performance gains across the full stack.
- - Re-architected cloud infrastructure on AWS (EC2, S3, VPC), improving deployment reliability and reducing infrastructure incident rate by 70%, supporting 99.9% uptime SLAs across production workloads.
- - Built RESTful microservices using FastAPI and Go, cutting system integration time by 50% and improving cross-team reliability through clearly defined service contracts.
- - Developed responsive React front-end applications with JavaScript, HTML, and CSS, boosting user engagement by 40% and improving satisfaction scores by 20% in UX benchmarks.
// Between Wipro and UnitedHealth Group, I completed my MS in Computer Science and focused on independent product builds, AI experiments, and strengthening full-stack delivery before joining enterprise healthcare engineering.
// proof
// years production experience
// bots supported through Bot Center
// featured projects built
// LLM providers integrated across projects
// what i build
Products that feel sharper because the system underneath is sharper.
My best work sits at the intersection of interface craft, orchestration, and product-minded engineering.
CAPABILITIES(7)
AI SYSTEMS
Production agentic workflows with LangGraph and LangChain, RAG pipelines with pgvector and Chroma, and LLM integrations that automate real enterprise tasks at scale.
FULL-STACK PRODUCT ENGINEERING
Next.js and React frontends to FastAPI and Go backends — enterprise-scale systems deployed on AWS that work end to end and ship on time.
SCALABLE BACKEND WORKFLOWS
RESTful and GraphQL APIs, data pipelines, and orchestration patterns with proven throughput — 45+ endpoints maintained, 50% integration time reduction.
MODERN INTERFACES
Responsive, accessible UI systems built in TypeScript and Tailwind — from real-time operations dashboards to consumer learning products.
INDIE PRODUCT SHIPPING
Zero to shipped in days, not months — native macOS utilities, AI-powered web platforms, and desktop tools built and deployed solo. Seven consumer-grade products shipped across Tauri, Electron, and Next.js at a cadence most teams can't match with a full sprint.
// build log
Notes, experiments, and patterns I keep returning to.
Where the product builder, systems thinker, and curious experimentalist all overlap.
// What it took to go from idea to a shipped macOS menu bar app — and why the hardest constraint was staying invisible.
$ cat full_note// What Oliver is teaching me about native windowing, screen-capture exclusion, and keeping AI useful during live calls.
$ cat full_note// A note from building Work Search and enterprise agentic systems: leverage appears when intelligence sits inside a workflow with memory and outcomes.
$ cat full_note// Bhasha pushed me to think more carefully about pacing, motivation, and the feeling of returning to a product.
$ cat full_note// Building an on-premise RAG system for HIPAA-sensitive documents at UHG — the failure modes nobody writes about until they ship.
$ cat full_note// A practical comparison from building Oliver and PointerSense: where Tauri wins, where it costs you, and what the tradeoff actually looks like day-to-day.
$ cat full_note// contact
Recruiting, client work, or a product conversation.
// If you need someone who can reason about the system and shape the experience, I'd love to hear what you're building.
Open to full-time Software Engineer roles in AI-integrated product development