I am a CSE graduate from the University of Rajshahi with a deep passion for CS fundamentals, algorithmic optimization, and backend architecture. Currently, I specialize in building robust Python-based services that bridge the gap between complex data processing and AI. My approach to engineering is simple: write maintainable code, solve the hardest problems first, and never stop learning.
Developing Backend AI services focusing on high-integrity data management and medical assistance.
Conducted deep research into medical AI while completing my undergraduate degree.
Max Rating: 1744 (Handle: ABIR)
Solved 770+ problems. This experience honed my ability to analyze time complexity and space complexity under pressure—skills I bring to every backend task.
900+ Problems Solved with a 500+ day continuous streak. I treat coding as a daily discipline.
Built a recursive parsing engine to evaluate 2,000+ medical variables. This project required deep application of tree-traversal logic to ensure real-time validation of complex medical conditions. View Demo
Classified 24 categories of human movement. Achieved 97% accuracy by applying median thresholding on Temporal Flow. This involved hand-annotating clinical data and building a custom detection pipeline.
A containerized system capable of orchestrating multiple LLM-based apps. Integrated custom authentication and a task-queue mechanism for heavy generative workloads.
Python, C++, SQL, JavaScript
FastAPI, Django, Redis, WebSockets, REST APIs
Docker, Git, PostgreSQL, Linux, Poetry/UV
PyTorch, LangChain, FAISS, Stable Diffusion, ComfyUI
Advanced Data Structures, OOP, System Design, Unit Testing, Agile/Scrum