CV

Education

M.Sc. in Computer Science and Engineering
Brac University, Dhaka, Bangladesh (2024 - Expected)

• Current CGPA: 3.94/4.00
• Role: Graduate Research Assistant
• Relevant Courses: Symbolic Machine Learning, Advanced Artificial Intelligence, Information Assurance and Human Factor, Pattern Recognition
• Thesis: Vision‑Language Models for Real‑Time Crime Prediction: A Crowd‑Sourced Data‑Driven Approach

B.Sc. in Computer Science and Engineering
Brac University, Dhaka, Bangladesh (2019 - 2022)

• Graduated with High Distinction, CGPA: 3.62/4.00
• Relevant Courses: Data Structure, Algorithm, Programming for the Internet, Software Engineering, Artificial Intelligence, Machine Learning, Database Design

Notre Dame College
Dhaka, Bangladesh (Mar 2016 – Aug 2018)
Higher Secondary School Certificate

• GPA: 5.00/5.00

Monipur High School
Dhaka, Bangladesh (Jan 2005 – Feb 2016)
Secondary School Certificate

• GPA: 5.00/5.00

Work experience

Research Assistant
Brac University, Dhaka, Bangladesh (Sep 2023 – Present)

• Conducted research and authored scholarly articles for high-impact journals and international conferences.
• Developed and optimized deep learning models and neural network architectures for real-time image and video analysis.
• Applied advanced computer vision techniques and transfer learning strategies to enhance model accuracy, particularly in image classification tasks.
• Contributed to securing research funding by drafting compelling sections of grant proposals.
• Technical Skills: Python, TensorFlow, Keras, OpenCV, CUDA, PyTorch, Mediapipe, YOLO

Software Engineer Trainee (AI & ML)
Medina Tech Ltd., Dhaka, Bangladesh (Apr 2023 – Sept 2023)

• Enhanced datasets through data augmentation, improving model performance by 20%.
• Optimized machine learning models using Bayesian optimization, resulting in a 60% improvement in accuracy.
• Contributed to backend development using Django and Odoo, and managed AWS servers for system stability.
• Technical Skills: Python, Keras, TensorFlow, NumPy, Pandas, Scikit-learn, Linux, Nginx, PostgreSQL, Django, Odoo, Git

Student Tutor/Undergraduate Teaching Assistant
Brac University, Dhaka, Bangladesh (Jan 2022 – Apr 2022)

• Provided personalized one-on-one instruction in computer science and math, simplifying complex concepts.
• Guided students in coding, algorithm design, and debugging, and created study materials.

QA & Automation Tester
Master Wizr, Oslo, Norway (Jul 2021 – Jan 2024)

• Developed and executed comprehensive test plans and cases for software applications to ensure alignment with system specifications.
• Automated repetitive testing tasks using tools like Selenium and Postman, reducing manual testing time by 50%.
• Identified, documented, and reported bugs, tracking them through to resolution to maintain software quality standards.
• Soft Skills: Selenium, Pytest, Jira

Web Developer Intern
ParallaxLogic Infotech, Dhaka, Bangladesh (Nov 2020 – Feb 2021)

• Developed responsive UI components using React.js for improved cross-device compatibility.
• Implemented RESTful APIs with Node.js to enhance data management and communication.
• Collaborated on full-stack projects, gaining experience in both frontend and backend development.
• Managed code updates and teamwork using Git for version control.
• Technical Skills: Javascript, Node.js, React.js, HTML, Git

Skills

• Programming: Python, C++, JavaScript, MATLAB
• Deep Learning: PyTorch, TensorFlow, Keras
• Computer Vision: OpenCV, image processing
• Data Analysis: Pandas, NumPy, scikit-learn
• Web: HTML, CSS, JavaScript
• Tools: Git, Docker, LaTeX

Publications

Deep Representation Learning using Layer‑wise VICReg Losses

Datta, J., Rabbi, R., Saha, P. et al. (2025). "Deep Representation Learning using Layer‑wise VICReg Losses." Nature Scientific Reports. 15, 27049.

Peer‑Guided Optimization: Incorporating Collaborative Learning into Stochastic Optimization in Machine Learning

J. Datta, R. Rabbi, N. I. Rafin, and M. G. R. Alam (2025). "Peer‑Guided Optimization: Incorporating Collaborative Learning into Stochastic Optimization in Machine Learning." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp. 1‑6. IEEE. doi: 10.1109/ECCE64574.2025.11013057.

Parameter‑Efficient Image Classification with Convolutional Spiking Neural Network via Fast Sigmoid Surrogate Gradient Descent

Datta, J., Sarwar, F. A., Rabbi, R., Saha, P., Alam, M. G. R., Uddin, J., & Zereen, A. N. (2025). "Parameter‑Efficient Image Classification with Convolutional Spiking Neural Network via Fast Sigmoid Surrogate Gradient Descent." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp. 1‑6. IEEE. doi: 10.1109/ECCE64574.2025.11013059.

Wildfire Prediction using Convolutional Kolmogorov‑Arnold Network

Rabbi, R., Datta, J., Ahmed, S., & Zereen, A. N. (2024). "Wildfire Prediction using Convolutional Kolmogorov‑Arnold Network." In 2024 13th International Conference on Electrical and Computer Engineering (ICECE) (pp. 667‑672). IEEE. DOI: https://doi.org/10.1109/ICECE64886.2024.11024794.

Lightweight Custom CNNs Take on Corn Leaf Disease: Deep Learning for Plant Pathology

Arefin, M. Y., Rabbi, R., Turna, I. F., Zannat, Z., & Karim, D. Z. (2023). "Lightweight Custom CNNs Take on Corn Leaf Disease: Deep Learning for Plant Pathology." In Proceedings of the 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), IEEE. 19‑21 July 2023, Tenerife, Canary Islands, Spain. DOI: https://doi.org/10.1109/ICECCME57830.2023.10252315.

For a PDF version of my CV, feel free to download it here.