full-stack engineer · 4+ years
I build resilient backend systems & delightful frontends.
Currently architecting AI-powered invoice automation and an open-source serverless platform — with Node.js, React, TypeScript and AWS.
export const engineer = { name: 'Abhijeet Rana', stack: ['Node', 'React', 'AWS'], focus: 'systems that scale', shipping: true, // always }; $ ✓ deployed to production — 1.2s
production systems
years shipping
production apps
uptime maintained
ms cold starts
AI Invoice Generator & Management
End-to-end platform that extracts invoices from email & PDF via GPT-4 with OCR fallback, automates reminders, and surfaces business insights.
ServerlessFlow — AWS Lambda alternative
Self-hosted FaaS platform on OpenWhisk + Docker. Custom runtimes, container pooling with pre-warming, auto-scaling to 100+ concurrent functions.
right now
building
- Scaling AI Invoice Gen past 10k invoices/month
- ServerlessFlow v2 — custom runtimes & edge deploys
- Writing on event-driven Node.js architectures
- Exploring Rust for edge compute runtimes
shipping activity
beyond code
- Reading — Designing Data-Intensive Applications
- Studying — distributed consensus & CRDTs
- Based — remote, open to relocation
- Fuel — chai, mostly
Event-driven Node.js at scale: lessons from 10M events/day
How we moved from REST to event sourcing and cut p99 latency by 73%.
Cold starts are a myth (when you build it right)
Container pooling, pre-warming, and runtime optimization for sub-200ms invocations.
Reliable invoice extraction with GPT-4 + fallback OCR
Graceful degradation patterns for production LLM systems.
let's talk
Building something that
needs to scale?
Open to senior full-stack roles, contract engineering and technical advisory. Currently booking Q3 2026.