At Terafort, I develop Django REST APIs and backend functionality for production applications, including caching and data-processing workflows. I also build React features and work across frontend and backend tasks.
I use AI-assisted coding and research tools to speed up implementation and troubleshooting, while reviewing generated output for correctness, maintainability, and fit with the codebase.
I built FrameVideo, an AI-enabled documentary editor that brings together LLM planning, narration, visuals, video editing, inference, cloud storage, and database-backed orchestration.
For AuraFarm, my UET Final Year Project, I built a web workflow around a Python crop-disease model, Node.js/Express APIs, React, and rule-based monitoring. I also co-developed a tomato leaf-disease architecture for MSAF-TOMNET that reached over 96% experimental accuracy.
