Summary
Muhammad Yaseen is an Artificial Intelligence Engineer based in Berlin with 12 years of hands-on experience building ML systems that move from research to production. He has designed and deployed end-to-end data lakes and ETL pipelines, predictive ML pipelines, and reproducible experiment environments across cloud platforms (AWS, GCP) and big-data stacks (Spark, Hadoop). His background spans applied research—developing windowless anomaly detection and structured latent-variable VAEs—to commercial impact, where his models reduced churn and optimized PPC spend. Comfortable both implementing cutting-edge probabilistic and deep learning methods and operationalizing them with tools like Docker, Kubeflow, and MLFlow, he bridges academic rigor with measurable business outcomes. Notably, he has contributed to AI-aided laser manufacturing commercialization and emphasizes explainability and interpretability in model design.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Engineering, 1,2 (German grading system), Bachelor of Engineering (B.E.), Computer Engineering, 1,2 (German grading system) at NED University of Engineering and Technology
Master's degree, Computer Science, 1,1 (German grading system), Master's degree, Computer Science, 1,1 (German grading system) at Universität des Saarlandes
English, Urdu, German