I'm a passionate researcher and engineer specializing in machine learning, deep learning, computer vision, and natural language processing. Currently pursuing my Master's in Computer Science at Uppsala University, Sweden, as a recipient of the prestigious Swedish Institute Scholarship for Global Professionals (SISGP) 2024.
With over 4 years of industry experience as an IT Engineer and Head of Quality Assurance at Euro-Bangla Ceramics Ltd., I've successfully developed and deployed real-world AI solutions including automated visual inspection systems using YOLO models and emotionally intelligent human-robot interaction systems. My research has been published in multiple IEEE conferences, with one paper receiving an IEEE Honorable Mention Award. I hold a Bachelor's degree in Computer Science and Engineering from Shahjalal University of Science and Technology (SUST), Bangladesh, graduating with distinction (CGPA: 3.88/4.00).
Master's Thesis (ongoing): Research on NetFlow-based network traffic analysis using machine learning methods.
Recipient of the Swedish Institute Scholarship for Global Professionals (SISGP) 2024
CGPA: 3.88/4.00 (With Distinction)
College: Sylhet Engineering College
Thesis: Bangla Handwritten Character Recognition using Deep Convolutional Neural Network
Advisor: Md Mahadi Hasan Nahid
GPA: 5.00/5.00
Teaching assistant for Data Engineering II (1TD076), supporting students in advanced data engineering concepts, distributed systems, and big data technologies.
Led IT infrastructure management and quality assurance operations for a manufacturing company. Developed and deployed machine learning systems for automated visual inspection using YOLO models, achieving significant improvements in defect detection accuracy. Managed the company's IT systems including website, servers, and computer networks. Successfully implemented real-time crack detection systems for ceramic products, reducing manual inspection time by over 60%. [Job Profile]
Machine Learning · Deep Learning · Large Language Models · Internet Microscope · Natural Language Processing · Computer Vision · Data Engineering · Real-time Detection
A one-stop AI-enhanced developer workflow platform that combines task/project management, GitHub integration, AI-assisted code reviews, changelog automation, and collaboration tools.
A scalable machine learning platform that predicts GitHub repository star counts using distributed infrastructure, containerization, and CI/CD pipelines.
This project leverages the power of YOLOv4, an advanced object detection algorithm, to identify and locate cracks in ceramic sanitary-ware products in real-time. This cutting-edge solution employs deep learning techniques to enhance the quality control process in manufacturing.
Enhanced the Bengali Handwritten Character/Word Recognition System through the implementation of Machine Learning algorithms. Two research papers based on this project have been published in IEEE conferences.
Winner of NSU Inter-University Hackathon 2020. A web application providing an efficient and user-friendly platform for vendors and buyers to connect and transact, featuring procurement system, point of sale, and inventory management.
Assisted in relief efforts after the flood in our area in 2022, providing shelter and raising funds for affected families. Raised funds from foreign friends and relatives during the COVID-19 pandemic, demonstrating resourcefulness and commitment to social causes. Volunteered with two charity organizations, developing teamwork and communication skills.
Active member of a local sports club, regularly playing badminton, cricket, and football. Winner of multiple badminton tournaments, showcasing discipline and competitive spirit. Designed the logo for a manufacturing company, which has gained recognition across the country. Passionate blogger, showcasing writing and communication skills.