In my second year of college, I became interested in Machine Learning. Since then, along with other development practices, I've been teaching myself AI and ML. Additionally, I practice regularly on LeetCode. I am interested in Computer Vision, LLMs, and Predictive Analysis, and I've successfully completed several projects in these areas. Furthermore, I have a solid understanding of cloud concepts and hands-on experience with Microsoft Azure. I am also 2x cloud certified, holding the DP-100: Microsoft Azure Data Scientist Associate certification. To complement this, I utilize version control systems like Git and GitHub to manage my projects efficiently. I also have a YouTube Channel and Personal Blog where I try to share everything I learn.
Jan 2022 - Dec 2025
Bachelor of Science - BS, Computer Science
Jul 2018 - Oct 2020
Higher Secondary - Science
Data Analytics Intern
Feb 2024 - Present
Utilizing Python scripts to gather and analyze data from the internet, managing data labeling processes, and conducting sentiment analysis to assess brand perception. Collaborating with leading MFS and beverage brands in Bangladesh to provide actionable insights and improve brand strategies.
Developed a personal portfolio website using Next.js to showcase projects and skills. Implemented responsive design and optimized performance for a seamless user experience.
Created and manage a YouTube channel to share technical content on topics such as AWS, LeetCode problem solutions, and Python programming. Developed engaging video tutorials to educate viewers and demonstrate problem-solving techniques.
XOps Lab is a global community for AI, ML, and Cloud enthusiasts to connect, learn, and grow together.
A Python project for camera calibration using checkerboard images and applying homography transformations to align images accurately.
This project developed as a course project for the CSE370 Database course. Built on Django, MySQL, and Bootstrap, it allows users to browse, search, and purchase books.
Developed a system to accurately measure distances using Aruco markers. Implemented Computer Vision techniques to detect markers in images or video streams, enabling precise distance calculations.
Created a face tracking system utilizing the OpenCV library. Developed algorithms to detect and track human faces in real-time from video input.
Programming Languages: C++, Python, JavaScript
ML/AI: NumPy, Pandas, Seaborn, Scikit-learn, TensorFlow, PyTorch
Web Technologies: HTML, CSS, Next.js, React.js, Node.js, Express.js
DBMS: MySQL, PostgreSQL, MongoDB
Jun 2024
Credential ID: 8C564412AD29B5F2
Credential URL: Click here
Apr 2024
Credential ID: 1FA23F4AAEF5D096
Credential URL: Click here
Community Leader
Jan 2023 – Present
As a Microsoft Learn Student Ambassador, I help students create robust tech communities, develop technical and career skills, and organize learning events.
Microsoft Profile: Click here
Community Manager
Apr 2023 – May 2024
Facilitated collaboration, organized events, and cultivated a supportive environment for students to learn and grow together.
Facebook Group: Click here
Co-organizer
May 2023 – May 2024
Supported the TensorFlow User Group in hosting events and sharing knowledge about TensorFlow applications and advancements.
TensorFlow Group: Click here
Graphic Designer
Aug 2018 – Oct 2019
Designed posters for events like the Josephite Math Mania 2018. A 1x1 version of my poster was featured in the renowned newspaper Prothom Alo.
Math Club: Click here
Bronze Standard - 2023
Winner from BD Region - 2019 (Hosted by Australian Government)
Top 30 - 2019 (National Level)
1st Runner Up - 2018 (Presentation Topic: Calculus)
2nd Runner Up - 2017 (Regional Level)