Data Science graduate student in Berlin. German and Bangladeshi citizen. No visa sponsorship needed. I build with Python, PyTorch, and deep learning.

I'm Shahabub Alam. Friends call me Nabid. I'm finishing an M.Sc. in Data Science at the University of Potsdam, after coursework at TU Dortmund. I live in Berlin and hold German and Bangladeshi citizenship. I work with machine learning, deep learning, NLP, computer vision, and statistical modeling, and I publish research alongside the projects I ship.
At DFKI (German Research Center for Artificial Intelligence) I built ML models for human-computer interaction as a Research Assistant. At TU Berlin and ESCP Business School I worked on NLP assistants, BI dashboards, and other data-driven tools. Day to day I use Python with PyTorch, TensorFlow, and Scikit-learn, plus SQL, data engineering, and full-stack work when a product needs it.
Languages: English, German (B2.1, progressing to B2.2), and Bangla.
I'm open to a full-time role in Data Science, Machine Learning, or AI. As a German citizen I do not need visa sponsorship. If that matches what you need, reach out through the contact form.
Recent roles first. Earlier industry experience is available below.
University degrees first. School certificates listed for completeness.
Completed coursework at TU Dortmund University (Oct 2020 - Sept 2023). One continuous master’s path.
Projects I worked on. Each of them containing its own case study.

Comprehensive research project on Bengali speech recognition using the OOD-Speech dataset (~1,178 hours from 22,645 speakers). Benchmarked Whisper, IndicWav2Vec, and BengaliAI regional models, achieving 76% relative WER reduction. Implemented domain-generalization fine-tuning with GroupDRO, resulting in additional 40% WER improvement. Built interactive demos with Gradio and FastAPI for real-time ASR.

AI-powered research engine for searching 65,000+ legal and medical documents with instant, accurate answers. Built with privacy-by-design principles, fully GDPR compliant with no data storage. Features source citations, confidence scores, and real-time query processing for EU legal documents and medical guidelines.

Advanced time series and causal modeling system for supply chain optimization. Features agentic AI mode for autonomous model selection and hyperparameter tuning. Built with LightGBM and ensemble models, achieving 20-30% MAPE accuracy. Includes interactive demo, real-time forecasting, GDPR compliance, and production-ready architecture. Reduces inventory costs by 15-20% and saves 8-16 hours/month vs manual forecasting.

Advanced ML-powered recommendation engine using the Brazilian Olist dataset (100K orders, 99K+ users, 33K+ products). Implemented collaborative filtering, content-based filtering, and hybrid approaches for personalized product recommendations. Features real-time recommendation serving, model performance comparison (Precision@10, Recall@10, NDCG@10), and interactive web demo. Achieved improved user engagement through matrix factorization and item embeddings.
Published research papers and conference proceedings in Machine Learning, Computer Vision, and NLP.
2025 International Conference on Decision Aid Sciences and Applications (DASA)
View Publication →2025 International Conference on Electrical, Computer and Communication Engineering
View Publication →2024 International Conference on Decision Aid Sciences and Applications
View Publication →2024 International Conference on Decision Aid Sciences and Applications
View Publication →Indonesian Journal of Electrical Engineering and Computer Science
View Publication →International Journal of Advances in Intelligent Informatics
View Publication →2020 11th international conference on computing, communication and networking technologies
View Publication →International Journal of Computer Applications
View Publication →Technologies and tools I work with to build innovative solutions.
Professional certifications and credentials demonstrating expertise in various technologies and domains.
Snowflake
DASA 2025 (Presenter)
Showing 1-4 of 34 certifications
A personal hobby alongside my studies. Not my career focus.
In my free time I run Nabid In Motion, where I teach AI and Machine Learning fundamentals mostly in Bangla, with English captions so a wider audience can follow along. I also publish English videos on tech topics from time to time. Teaching forces me to simplify models, debug live, and write clearer explanations. The goal is simple. Learn deeply, teach clearly, and encourage others to teach next, so knowledge compounds in the community.
To support that, I built a free Study Hub as a static site with an open ML curriculum. Progress stays in your browser with local storage, so no account is needed. You can read lessons and build projects right away. This work helps me practice explaining technical ideas and shipping useful tools. It does not replace my priority of joining a full-time engineering team.
Please contact me directly at nabidinmotionofficial@gmail.com or through this form.