I'm a machine learning engineer drawn to the messy middle: taking an idea from a research notebook all the way to a system in production. My range runs from computer vision pipelines to LLM-powered automation.
Currently a Jr. Artificial Intelligence Engineer at AIQNIC and a Computer Science & Engineering graduate from IUBAT. I specialize in designing intelligent systems using machine learning, computer vision, and large language models, with experience building AI solutions from research and prototyping to real-world applications.
Building production AI systems: computer-vision pipelines, LLM-driven workflow automation, and interpretable deep-learning models, taking research prototypes from the notebook into shipped products.
Developed a strong foundation in computer science, software engineering, algorithms, databases, artificial intelligence, and machine learning through academic coursework and practical projects.
Desktop app with a custom YOLO11 detector (99.49% mAP@50), ByteTrack and Re-ID tracking for stable vehicle IDs through occlusion, automated session logging, capacity alerts, and analytics, built for a car wash from the client's own CCTV footage.
An n8n automation pipeline that pulls CVs from Google Drive, OCRs scanned PDFs with Gemini 2.0 Flash, scores candidates with GPT-4o against weighted job criteria, and ranks them into Google Sheets, cutting manual screening time by ~90%.
A web-based inventory platform for Fold Fashion BD that tracks products, sales, and stock across multiple branches, with per-branch stock levels, overselling validation, automatic stock adjustments on every transaction, and REST APIs backed by transaction-safe PHP/MySQL.
A branch-based sales & inventory platform for small and medium enterprises, with role-based Admin and Staff workspaces, multi-branch management, and an AI forecasting layer that predicts demand and flags shortfalls through real-time dashboards and PDF reports.
Open to AI engineering roles, research collaborations, and freelance ML projects. I usually reply within a day.