







I build production-grade web applications and systems, spanning modern full-stack development, scalable APIs, and applied machine learning.
Lately, I’ve been spending more time in research-driven spaces, especially healthcare AI, exploring problems around NAFLD and DILI, and how data can translate into real clinical impact.
Ibelieve strong products are built at the intersection of clear problem understanding, solid engineering, and real-world constraints. My approach is collaborative, iterative, and grounded in building systems that are reliable, scalable, and useful in practice.
Whether I’m designing system architectures, writing production code, or experimenting with models, I focus on solving complex problems with solutions that are practical, measurable, and built to last.
Start by understanding user needs and constraints, then validate quickly through feedback and iteration.
Define success metrics early and ship in a way that makes impact measurable (speed, reliability, adoption, cost).
Clean architecture, thoughtful tradeoffs, and attention to detail , with testing, observability, and maintainable systems.
I build modern, high-performance web applications using Next.js, React, Python, and TypeScript , focusing on scalability, maintainability, and clean architecture across frontend and backend.
I design and implement production APIs and services using Node.js, NestJS, Go, and FastAPI , including REST/GraphQL endpoints, real-time systems, and data pipelines optimized for throughput and reliability.
I build data-driven systems with modern ML workflows , from analytics pipelines and SQL modeling to LLM systems (RAG, embeddings, fine-tuning) deployed on AWS.
I design, build, and scale software systems - View my experience to see how I can bring value to your team.
Open to internships and full-time roles , especially work that blends strong engineering, thoughtful UX, and measurable impact.