CV

Research Interests

• AI Safety & Alignment
• Formal Verification
• Mechanistic Interpretability

Education

• M.Sc. in Computer Science (Intelligent Systems), American International University–Bangladesh (AIUB), 2023 — CGPA 3.88/4.00, Magna Cum Laude
• B.Sc. in Software Engineering, American International University–Bangladesh (AIUB), 2022 — CGPA 3.84/4.00

Both degrees: 100% tuition fee waiver. Relevant coursework: Machine Learning & Neural Networks, Natural Language Processing, Computer Vision & Pattern Recognition, Knowledge Based Systems, Image Processing, Design & Analysis of Algorithms.

Work experience

• Dec 2024 – Present: Lecturer, Dept. of Computer Science
  • American International University–Bangladesh (AIUB)
  • Teaches programming, computer architecture, operating systems, software engineering, and web development
  • Lead developer, in-department Web Development & Automation team — builds systems to digitize and automate departmental activities, including the student course registration system (open-credit model) and the admission management system
• Jan 2024 – Dec 2024: Software Engineer
  • Orion Informatics Ltd.
  • Full-stack systems (Spring Boot, Angular, MS SQL Server, Apache Kafka) for Equiniti US’s shareholder/company management platform
  • Built a Kafka messaging pipeline handling millions of shareholder votes per hour
  • Improved reporting query performance by 60% across queries spanning hundreds of thousands of rows and tens of tables
• Jan 2022 – Dec 2023: Junior Software Engineer
  • Orion Informatics Ltd.
• Jul 2021 – Dec 2021: Intern Software Engineer
  • Orion Informatics Ltd.

Skills

• Programming: Python, Java, C++, JavaScript
• ML/DL frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, Transformers
• LLM tooling: HuggingFace, Ollama, LangChain
• Backend: Spring Boot, Angular, Node.js, Laravel, Nest.js, Apache Kafka
• Frontend: React, Next.js, Angular
• Mobile: React Native
• Databases: MS SQL Server, MySQL, MongoDB
• Dev tools: Git, Docker, Postman, VS Code, IntelliJ IDEA, Jupyter Notebook

Publications

Enhancing Breast Cancer Detection Systems: Augmenting Mammogram Images Using Generative Adversarial Networks

Rifat, M., Uddin, M. S., Rozario, V. S., & Nandi, D. (2024). "Enhancing Breast Cancer Detection Systems: Augmenting Mammogram Images Using Generative Adversarial Networks." In M. F. Mridha & N. Dey (Eds.), Data-Driven Clinical Decision-Making Using Deep Learning in Imaging (Studies in Big Data, Vol. 152). Springer.

Cauli-Det: enhancing cauliflower disease detection with modified YOLOv8

Uddin, M. S., Mazumder, M. K. A., Prity, A. J., Mridha, M. F., Alfarhood, S., Safran, M., & Che, D. (2024). "Cauli-Det: enhancing cauliflower disease detection with modified YOLOv8." Frontiers in Plant Science, 15.

Using Cooperative Multi-Agent Reinforcement Learning for Mammogram ROI Classification

Uddin, M. S., Mridha, M. F., Abdullah-Al-Jubair, M., et al. (2023). "Using Cooperative Multi-Agent Reinforcement Learning for Mammogram ROI Classification." 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI). IEEE.

Talks

Using Cooperative Multi-Agent Reinforcement Learning for Mammogram ROI Classification

October 25, 2023

Conference presentation at 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI), IEEE, Virtual

Teaching

Lecturer, Dept. of Computer Science

Awards & service

• Magna Cum Laude, M.Sc. Computer Science, AIUB
• 100% tuition fee waiver, both B.Sc. and M.Sc., AIUB
• Peer Reviewer, ICCA 2026 (ongoing)

Extracurricular

• Organizer, Knights Cubing Open 2019 — co-hosted the 4th official speedcubing competition in Bangladesh; competed and solved a Rubik’s Cube blindfolded