Summary
Sujit Sahoo is a Senior Assistant Vice President and AI engineer with 7 years of hands-on experience building machine learning and deep learning products, specializing in sequence-based models for NLP, ASR, and reinforcement learning. He combines strong practical skills in Python, PyTorch, TensorFlow and CUDA with domain expertise in pattern recognition, transformers, attention mechanisms and both supervised and unsupervised learning. His career spans industry and research settings across India, Germany and the U.S., progressing from engineering roles at Caterpillar to machine learning work at Fraunhofer and leadership at EXL. Comfortable moving models from prototype to production, he brings an appetite for learning and a track record of shipping applied AI systems in enterprise contexts. An uncommon strength is his mechanical engineering background paired with a computational science master's, which helps him bridge physical intuition and data-driven modeling.
7 years of coding experience
11 years of employment as a software developer
Master's degree Computational Science, Master's degree Computational Science at FAU Erlangen-Nürnberg
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at National Institute of Technology Rourkela
English, Hindi, Odia, German