Summary
Mehedi Hasan is an MTS2 software engineer in San Jose with a decade of experience building scalable, cloud-native systems and a deep research background in machine learning, NLP, and healthcare informatics. He blends PhD-level research skills from Wayne State University with hands-on engineering at companies like Samsung Research America and eBay, delivering HIPAA-compliant health platforms, Kafka-based event pipelines, and production AWS architectures. Comfortable across Java, Python, Scala, Spark and containerized deployments, he bridges data engineering, ML model development, and reliable API-driven services. Previously he accelerated business tooling and e-ticketing systems early in his career, demonstrating a knack for optimizing performance and product impact. Mehedi is motivated by applied research that improves clinical decision-making and patient self-management, and he’s now focused on bringing that analytical rigor to forward-thinking product teams.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Wayne State University
Bachelor of Science - BSc, Robotics & Mechatronics Engineering, Bachelor of Science - BSc, Robotics & Mechatronics Engineering at University of Dhaka