Currently I am working at UAB Lung Health Center as a Graduate Research Assistance and Ph.D. student working under the advisement of Dr. Chengcui Zhang at The University of Alabama at Birmingham. My research focuses on Computer Vision, Machine Learning, Deep Learning and Data Science. One of my greatest strengths is my ability to make the conceptual practical to a computer program.
Previously I was working as a Team Lead (Machine Learning) at Apurba Technologies Ltd., and Senior Research Scientist (Computer Vision & AI Initiatives) at CiLab and DIU NLP & ML Research Lab, building things for the Bangla Language with some awesome people.
Being a Machine learning enthusiast, I enjoy bridging the gap between engineering and AI — combining my technical knowledge with my keen heart for mankind to creates intelligent product. My goal is to build applications that are scalable and efficient under the hood while providing engaging, pixel-perfect user experiences.
When I'm not in front of a computer screen, I'm probably watching movies, reading books, or crossing off another item on my bucket list. I am always happy to talk about research, outdoor activities, fieldwork, STEM equity, or science communication. Whether looking for a research collaborator or movie partner, do not hesitate to email me and/or follow me on social media.
Ekush the largest dataset of handwritten Bangla characters with 367,018 isolated handwritten characters written by 3086 unique writers which include verity of the district, age group and the equal number of male and female.
The main goal for this project was to program a car to drive through a controlled course which included traffic lights. The car was to be able to drive through the track, while stopping at the appropriate lights. We were able to test the code through a simulator as seen below.
GYMX an online gym management tool build with Laravel which build a bridge between gym customer and trainer. Also it digitalized the whole system by online payment, task, chat and alert etc.
ISHARA-LIPI is the first multipurpose comprehensive open access isolated characters and digits dataset for Bangla Sign Language(BdSL)
A machine learning model to recognize Bangla handwritten digits.
A jupyter notebook with step by step guide to detect MNIST handwritten digits with 99.46% accuracy and Kaggle submission.
A website for Generic Medicine Suggestion from Doctors Prescription and store the information in database.
A beautiful website for restaurant and online food delivery system for busy life.
Personal blog with raw PHP. It also has user sign up, post management, commenting and editing all the post and comment from users.