Summary
Mohammad Saleem is a machine learning engineer specializing in computer vision and generative AI, with eight years of professional experience and a focused four-year trajectory in ML research and applied perception systems. Based in Potsdam, he has delivered safety-critical pedestrian detection and depth estimation pipelines for autonomous vehicles and trains, and architected an enterprise "Quality Agent" at Siemens that automates test-case generation across engineering requirements. He combines hands-on model engineering (active learning, semi-automated annotation, contrastive fine-tuning, VLPs) with production integrations, API design and lightweight caching to move prototypes into scalable workflows. Outside work he channels his interest in 3D art into an open-source Blender add-on that translates natural language into shader/geometry nodes via fine-tuned LLMs and RLHF, bridging creative tooling and ML alignment. His background in data science and interdisciplinary research gives him a pragmatic edge in turning complex, unstructured visual and textual data into operational ML systems.
8 years of coding experience
1 year of employment as a software developer
Dr. Radhakrishnan International School
Certificate Course In Russian Language, Certificate Course In Russian Language at Jamia Millia Islamia
Bachelor of Technology and Engineering, Computer Science, Bachelor of Technology and Engineering, Computer Science at Jamia Hamdard
Master of Science - M.Sc., Data Science, Master of Science - M.Sc., Data Science at University of Potsdam
Indian Community School, Tripoli, Libya
English, Hindi, German