Summary
Mobasshir Shagor is a Staff Machine Learning Engineer based in Dhaka with eight years of hands-on experience building production-grade AI systems across NLP, Computer Vision, Generative AI, and recommender systems. He architects end-to-end pipelines—data engineering, model development, MLOps, and cloud deployment—leading teams to deliver SaaS products like AlgoRec and FaceID Auth that blend research-grade models with operational robustness. Comfortable across PyTorch, TensorFlow, MLflow, Airflow, Kafka and Django/DRF backends, he prioritizes low-latency, scalable designs and has applied CV models in real-time systems for traffic tolling and gaze-tracking for market research. His current focus on federated learning and privacy-preserving optimization reflects a commitment to responsible, efficient ML, and he pairs this with practical toolkits for deployment and monitoring. Notably, he has translated research prototypes into commercial platforms and won recognition for agrotech work early in his career, showing a track record of turning experimental models into measurable business impact.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at American International University-Bangladesh (AIUB)
Machine Learning Engineer with Microsoft Azure Nanodegree, Artificial Intelligence, Machine Learning Engineer with Microsoft Azure Nanodegree, Artificial Intelligence at Udacity
Data Science Specialization, Artificial Intelligence, Data Science Specialization, Artificial Intelligence at DataCamp
Specialist Training & Prototype Development Programme for IT/ITES Industry Leaders, Artificial Intelligence, Specialist Training & Prototype Development Programme for IT/ITES Industry Leaders, Artificial Intelligence at National University of Singapore
English, Bengali, Chinese