Backend-focused engineer building scalable systems, AI-integrated tools, and production‑ready infrastructure. Focused on correctness, reliability, and systems that hold under real‑world load.
RBAC, authentication flows, scalable service design, and robust middleware.
Normalized schemas, query optimization, indexing strategies, and caching layers.
LLM pipelines, vector search, and intelligent document workflows.
End‑to‑end architecture, reliability patterns, and clean domain boundaries.
University-scale academic system with role‑based access, course management, and real‑time analytics.
Domain‑driven backend, Redis caching, concurrency‑safe enrollment flows, and event‑driven notifications.
AI-powered document processing and extraction system for unstructured data.
RAG pipeline with hybrid search, FastAPI backend, encrypted file handling, and asynchronous processing.
Computer Science student and founder of Neura Lumina. I focus on backend-heavy systems where failure is expensive — authentication, data integrity, and concurrency.
I prefer simple, reliable architecture over clever abstractions. Every line of code should earn its place.