Deepak Raj

Deepak Raj is currently a Work Student (AI Developer) at Securiton Germany, specializing in integrating findings from a Master Thesis on Anomaly Detection and Neural Network-Driven Background Subtraction Models for video stream analysis. Experience includes data preprocessing, model training, and fine-tuning within high-security environments utilizing the TensorFlow Object Detection API and ultralytics YOLO. Additionally, Deepak is a Founder Participant at Microsoft for Startups, focusing on automating EU-AI regulations, and serves in the Partnerships #WS23 Batch at START Munich, connecting with the entrepreneurial community. As a content writer for Data Driven Investor, Deepak contributes to discussions on AI and Machine Learning. Other notable projects include estimating the remaining lifetime of transistors for PROCON IT and developing a high-accuracy apparel recommendation system with Presize. Deepak holds a Master's degree in Robotics Cognition and Intelligence from the Technical University of Munich and a Bachelor's degree in Electrical, Electronics and Communications Engineering from Riga Technical University.