I build machine learning systems and software applications across computer vision, deep learning, security analytics, NLP, and applied AI.
Currently working as an Software Engineer Trainee at BJIT, with hands-on experience taking projects from data collection and model development through APIs, applications, containerization, and deployment.
An end-to-end marketplace intelligence platform that collects Amazon product and review data and turns it into four independent ML-driven analytical features:
- Similar product recommendation
- Review sentiment analysis
- Visual product clustering using CLIP
- Price-tier classification
Stack
A full-stack virtual try-on platform implementing VITON-HD through a hybrid-cloud proxy architecture. A React frontend communicates with a FastAPI backend while GPU inference runs remotely.
Stack
A machine learning-based cybersecurity system for detecting SQL injection and XSS attacks from network traffic, with model benchmarking, explainability, and Docker-based stress testing.
Result: 99.9% accuracy on CICIDS2017.
Stack
A deep learning system for automated ECG heartbeat classification using a custom CNN architecture and a Django web interface for real-time inference.
Result: 95.06% accuracy with a 423K-parameter CNN.
Stack
A machine learning benchmarking project comparing six algorithms for healthcare classification tasks involving patient survival and injury severity.
Result: Up to 83.6% accuracy across the evaluated classification tasks.
Stack
An automated data engineering pipeline and Django web application that scrapes, normalizes, and compares grocery prices from major e-commerce platforms.
Stack
AI Engineer Trainee — BJIT Ltd.
Jul 2026 — Present · Dhaka, Bangladesh
Working across machine learning, deep learning, LLMs, MLOps, LLMOps, AWS, Git, Agile, PyTorch, Hugging Face, FastAPI, and Docker.
IT Intern — City Bank PLC
May 2026 — Jun 2026 · Dhaka, Bangladesh
Built a Django-based IT training portal with Active Directory authentication, dynamic PDF reporting, and bulk data processing, while contributing to internal AI and data science initiatives.
BSc in Computer Science
North South University · 2021 — 2025
GPA: 3.51 / 4.00 · Cum Laude · 50% Merit Scholarship
- Computer Vision
- Deep Learning
- Applied Machine Learning
- LLM Applications
- AI Engineering
- Security Analytics
- ML Systems and Deployment
Building, measuring, and shipping.