Backend Engineering
Clean data models, resilient APIs and caching strategies that keep infrastructure fast under load.
- Python
- FastAPI
- PostgreSQL
- Redis
- MongoDB
- Supabase
/ Stack
Clean data models, resilient APIs and caching strategies that keep infrastructure fast under load.
LLM integrations and RAG systems that turn raw data into production-ready workflows.
From local containerized applications to cloud deployed products on platforms like AWS or GCP.
/ Work

Solo Developer · Nov 2025 – Dec 2025
Real-time financial dashboard showcasing stock trends, commodity prices, and currency rates. Live REST APIs plus scrapers, with MongoDB-level caching that cut load times and API spend.

Solo Developer · Apr 2026 – May 2026
Published CLI for practising real-world CVE debugging in the terminal. FastAPI backend on Hugging Face, Dockerised, with IP rate limiting for reliable and secure traffic.

Solo Developer · Jan 2026 – Feb 2026
Full-stack consumer tool for tracking prices and automating drop alerts. React/TypeScript frontend, FastAPI scoping and task queueing on PostgreSQL and Redis.

Solo Developer · Aug 2026 – Oct 2026
AI platform that turns static RFPs into queryable, source-grounded knowledge. Upload a document, chat with a LangGraph agent, and get answers that cite the exact sections they were built on.
/ About
I'm a software developer with a Computer Science background and a focus on backend system design and AI Engineering. In the past few years, I have built insightful projects to gain hands-on experience required for production architecture.
My work sits at the intersection of backend engineering,applied AI, and operational excellence. Whether it's designing a caching layer that cuts API costs by 87%, building a RAG pipeline that actually retrieves relevant context, or setting up CI/CD that catches regressions before prod. I build for the long haul.
Books that I am currently reading:
/ Contact
Have a backend to scale or an AI workflow to ship? I'm open to freelance projects and full-time roles. Drop a message. I read everything.
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