AI engineer · researcher · open-source contributor
Ideas that make
intelligent systems useful.
I am Rahul Drabit Chowdhury, a Master's student at BUET exploring evolutionary algorithms, computer vision, generative AI, and scientific machine learning.
evolutionary intelligence
A mathematician learning to build better machines.
I work at the intersection of theory and implementation: turning ideas from optimization, deep learning, and multi-agent systems into tools that can answer real scientific and engineering questions.
My path runs from mathematics to applied AI. Along the way I have contributed to OpenVINO, Keras, AIOpsLab, and other open-source communities, while building research projects in bioinformatics, medical imaging, and federated learning.
part of the practice.
Explore by domain
Dedicated sections
of work.
Research & Systems
Multi-agent autonomous SRE (GraphRCA), PINN optimization, DNA binding protein prediction, and temporal knowledge graphs.
Section 02 · Scholarly RecordsPublications
Peer-reviewed conference proceedings, journal manuscripts, preprints, and Google Scholar citations.
Section 03 · Deployed SoftwareProjects & Frameworks
Live mobile products (GRE AI Vocab), platforms (TipurAI), and C++/TypeScript libraries (OpenEyeGaze, Genetic Algorithm).
Section 04 · Public CodeOpen Source
Merged contributions and reviewed pull requests across Intel OpenVINO, Keras, and AIOpsLab ecosystems.
Section 05 · Roles & PracticeExperience
Professional engineering roles, teaching practice, and research engineering across applied domains.
Section 06 · Academic TrainingEducation & Skills
M.Sc. in CSE & PG.Dip in ICT from BUET, B.Sc. in Mathematics from MBSTU, and core research competencies.
Academic background
Grounded in
first principles.
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