I enjoy building software that feels like an actual product—not just a demo.
Current interests include FastAPI services, AI agents, geospatial intelligence, Dockerized deployments, and PostgreSQL architecture.
| Role | Backend Engineer |
| Focus | AI Systems & Infrastructure |
| Languages | Python · TypeScript · SQL |
| Backend | FastAPI · Flask |
| Database | PostgreSQL · PostGIS |
| DevOps | Docker · Linux · GitHub Actions |
flowchart LR
UI[React] --> API[FastAPI]
API --> DB[(PostgreSQL)]
API --> GIS[PostGIS]
API --> AI[Gemini AI]
AI --> Risk[Risk Engine]
GIS --> Maps[Live Maps]
AI Safety Intelligence Platform
- Multi-agent AI workflow
- PostGIS risk engine
- Safe route computation
- Live incident dashboard
- FastAPI backend
Stack
FastAPI PostGIS React Docker Gemini AI
Distributed Monitoring Platform
A telemetry platform for heartbeat tracking, uptime monitoring, and energy analytics across distributed infrastructure.
Stack
Python FastAPI PostgreSQL Docker
Hackathon Runner-Up
Built in under 48 hours with AI-assisted workflows and real-time backend services.
Stack
React Express Supabase Gemini AI
- 🏆 Top 5 Finalist — National AI Hackathon (SJBIT)
- 🥈 Runner-Up — GMIT State Hackathon
- 🥇 CodeNeura Inter-College Winner
- 🥇 Green IT Competition Winner
- 🚀 EY Techathon Round 2
I enjoy contributing to backend tooling, API improvements, documentation, and performance optimizations.
Let's build something meaningful.