Open to opportunities

Rubayet Hassan Rupom

@rubayethassanrupom

Message

Machine learning and AI-focused computer science student building production ML systems.

Bangladesh

Message

What I'm looking for

I seek roles in applied ML/AI where I can build and deploy models, work on NLP or medical-imaging research, and grow through collaborative, impact-driven projects.

I am a computer science student specializing in machine learning, deep learning, and natural language processing, with hands-on experience building end-to-end ML pipelines and deploying models as REST APIs. I have delivered projects that include production-ready APIs, containerized deployments, and research-focused transformer models for medical imaging.

My projects include an e-commerce delivery time prediction system trained on 10,000+ shipments, a Sentence-BERT based semantic document clustering pipeline, and ongoing transformer-based neuroimaging research for diagnosing neurodegenerative disease. I focus on robust model development, feature engineering, cross-validation, and scalable inference.

I contribute to volunteer and campus leadership initiatives, coordinating humanitarian distribution campaigns and facilitating technical workshops, and I bring strong collaboration, experimentation, and deployment skills to roles in applied ML and data science.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Intern

Current

BRAC University

Sep 2024 - Present (1 year 9 months)

Contributed to transformer-based medical imaging research developing modality-aware architectures and modality dropout to improve robustness for neurodegenerative diagnosis; supported model training, validation, and experimental analysis for B.Sc. thesis work.

PyTorch TensorFlow Medical Imaging Transformers Model Training Validation Research Docker

Current

Distribution Manager

Current

Youth Society of Bangladesh

Dec 2023 - Present (2 years 6 months)

Coordinated humanitarian campaigns distributing aid to 500+ beneficiaries and managed teams of 15+ volunteers across Winter and Ramadan relief initiatives.

Team Leadership Volunteer coordination Logistics Program Management

NLP Project Lead

Personal Project

Sep 2024 - Dec 2024 (3 months)

Built an unsupervised semantic document clustering pipeline using Sentence-BERT and a PyTorch autoencoder for 1,000+ documents, implemented scalable batch processing and FastAPI endpoints for real-time semantic search with Dockerized deployment.

PyTorch fastAPI Docker NLP Embeddings Clustering T SNE

ML Project Lead

Personal Project

Mar 2024 - May 2024 (2 months)

Architected end-to-end ML pipeline for e-commerce delivery-time prediction over 10,000+ shipments, achieving 66% precision and 65% F1; implemented feature engineering, stratified K-fold CV, and deployed a Flask REST API backed by PostgreSQL.

Python scikit learn Flask PostgreSQL Cross Validation data preprocessing Deployment

Education

Degrees, certifications, and relevant coursework

BRAC University

Bachelor of Science, Computer Science

Activities and societies: Relevant coursework: Machine Learning, Neural Networks, Artificial Intelligence, Data Structures & Algorithms, Software Engineering, Pattern Recognition; member of BRAC University Computer Club; distribution manager (volunteer) at Youth Society of Bangladesh.

Pursuing a Bachelor of Science in Computer Science with coursework in machine learning, neural networks, AI, data structures, and software engineering; expected graduation in 2025.