Summary
Tahasanul Ibrahim is a data scientist with 8 years of experience who blends academic research and industrial delivery to build production-ready AI systems for manufacturing and automation. At Fachhochschule Südwestfalen he led projects using autoencoders, imitation learning and evidence- and Bayesian-based methods to fuse machine data with expert knowledge, improving anomaly detection and recognition accuracy. He has hands-on experience deploying Docker microservices, CI/CD pipelines, Databricks integrations and web dashboards that translate ML outputs into operational insights. Now at be.storaged GmbH, he continues to bridge research and engineering, focusing on knowledge transfer and scalable monitoring for industrial processes. Trained in systems and electrical engineering and pursuing a PhD in AI, he combines embedded-systems instincts with applied machine learning to deliver pragmatic, measurable improvements.
8 years of coding experience
1 year of employment as a software developer
General Certificate of Education - Advanced Levels, Applied Information and Communication Technology, Mathematics, Physics, General Certificate of Education - Advanced Levels, Applied Information and Communication Technology, Mathematics, Physics at edexcel International by Pearson UK
Master of Engineering - MEng, Systems Engineering and Engineering Management, Master of Engineering - MEng, Systems Engineering and Engineering Management at Fachhochschule Südwestfalen
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Promotionskolleg NRW
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at American International University-Bangladesh
English, German