Mohammad Zeeshan is a Senior Software Engineering Consultant with over a decade of experience building backend-first web and enterprise systems in Python and Java for Fortune 500 companies including Intel, BMW, Huawei, Samsung and Allianz. He combines strong computer science fundamentals with hands-on expertise in REST APIs, CI/CD, Docker, and both relational and NoSQL databases, and has led multi-country teams to deliver complex modernization projects like a 150M-line COBOL-to-Java migration. His research background in machine learning and time at MIT and TUM inform production-ready ML tooling — for example, he built an end-to-end Flask-based NLP visualization and monitoring platform at Huawei that integrated batch processing, RBAC, and MongoDB. Practical contributions include multithreaded Python tooling at Intel for modem testing and Java components for BMW’s autonomous-drive toolchain, showing comfort across low-level systems and high-level services. Based in Munich, he pairs technical leadership with active mentorship (teaching Python) and a creative streak in photography and music, reflecting a pragmatic yet curious engineer who communicates cross-culturally.
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