Kawsar Ahmed Kazol

As a recent Computer Science and Engineering graduate from KUET, I am currently dedicating my time to building and deploying advanced software solutions in the AI and Blockchain sectors..

My daily 'living' consists of three core activities:

Advanced Research: I recently completed my thesis on Android Malware Detection using Random Forest models to improve system security..

Competitive Problem Solving: I am a disciplined programmer who has solved over 1,500 problems on platforms like Codeforces and LeetCode to keep my logic and analytical skills sharp..

Project Deployment: I am currently fine-tuning a multilingual Whisper model for Bengali speech-to-text and building decentralized applications (dApps), following my recent success as a Top 7 finalist in the International Data Science Olympiad 2025..

As a recent Computer Science and Engineering graduate from KUET, I have built a professional foundation rooted in elite competitive programming and advanced technical research. My analytical drive is evidenced by solving over 1,500 programming problems and securing national positions in both the Physics Olympiad and the National High School Programming Contest. I specialize in AI/ML and Blockchain, having represented Bangladesh at the International Data Science Olympiad 2025 in Hong Kong, where my team ranked in the Top 7 internationally, as well as placing 6th in the Bangladesh Blockchain Olympiad.

My hands-on experience includes developing a thesis on Android malware detection using Random Forest models, building decentralized applications with Solidity, and fine-tuning multilingual Whisper models. I am a proactive developer who thrives in high-stakes environments, consistently delivering results through disciplined logic and efficient remote project

I am a recent graduate of Khulna University of Engineering & Technology (KUET), where I earned my B.Sc. in Computer Science and Engineering. My academic journey (2020–2025) was defined by a strong focus on high-performance computing and emerging technologies, culminating in a thesis titled "Enhancing Permission-Based Android Malware Detection with Weighted Feature Modeling and Class-Imbalance Handling". This research allowed me to master advanced machine learning techniques, specifically utilizing Random Forest and ensemble models to solve complex security challenges.

Beyond the classroom, I built an elite analytical foundation by participating in national-level Math and Physics Olympiads and the National High School Programming Contest (NHSPC), which paved the way for my international recognition in Data Science and Blockchain