Available for research collaborations
AI Engineer & Researcher at BUET. Building at the intersection of evolutionary algorithms, computer vision, and generative AI. Google Summer of Code 2025 contributor.
I'm a Master's student in Computer Science at BUET, working at the frontier of artificial intelligence. My work spans evolutionary algorithms, deep learning, and generative AI, with a focus on solving real-world scientific and engineering problems.
As a Google Summer of Code 2025 contributor with MBDyn, I implemented a Genetic Algorithm module in C++ for evolutionary optimization. Previously, I worked as an AI Engineer Intern at Technyx, building computer vision and GenAI pipelines.
I believe in open science — I contribute to major projects like OpenVINO, Keras, and AIOpsLab, and co-founded a digital training centre that taught 200+ students during the COVID-19 pandemic.
Designed and implemented a Genetic Algorithm module for evolutionary optimization within the MBDyn multibody dynamics framework. Contributed production-grade C++ code integrating evolutionary algorithm strategies.
Developed AI/ML pipelines for computer vision and generative AI applications. Worked with modern deep learning stacks for real-world product deployments, spanning data science workflows and production-ready model serving.
Co-founded and operated a digital training centre during the COVID-19 pandemic, providing free and low-cost instruction in MS Office, Photoshop, and Illustrator to over 200 students from the local community.
Let's build something together
Open to research collaborations, interesting problems, and conversations about AI/ML, evolutionary computing, or quantum.