Backend engineer who builds systems that scale. From machine learning pipelines to high-performance APIs — I architect the invisible infrastructure behind products people love.
I spent my early days building ML models — neural networks, data pipelines, the whole nine yards. But somewhere along the way, I realized what truly excited me wasn't the models themselves. It was the systems underneath them — the APIs that served predictions in milliseconds, the databases that handled millions of records, the infrastructure that made everything actually work at scale.
So I pivoted. And I've never looked back.
Read the full story on my blogEvery tool chosen with intent. Every stack decision backed by experience.
A recommendation platform that matches interns with opportunities. Engineered to handle 500+ concurrent requests with sub-200ms response times. Built the entire backend from scratch.
AI-powered education platform with a knowledge graph of 500+ concepts. Helps students navigate algorithms and data structures through intelligent recommendations.
Self-hosted cloud infrastructure — 1TB of storage at $0/month. Built because why pay for cloud when you can build your own? Docker-powered, Linux-based, fully self-managed.
Real estate analytics platform — bringing data-driven insights to property markets. Currently in active development.
Chapter closed.
New systems. New architectures. New scale.
Stay tuned — what's coming next will be worth the wait.
Thoughts on backend architecture, the ML-to-backend journey, system design patterns, and lessons learned building real systems. Raw, unfiltered, written from the trenches.
Read the blogI'm currently open to freelance projects, collaborations, and full-time opportunities. If you're building something ambitious, I'd love to hear about it.