Summary
Shounak Chakraborty is a Machine Learning Engineer based in Stockholm with nine years of experience building production-grade computer vision and forecasting systems across energy, automotive, and robotics domains. Currently at Fortum, he designs and optimizes forecasting algorithms for Hiven Energy, and previously drove real-time defect detection and anomaly pipelines at Northvolt—delivering 30fps edge inference and models with >95% detection and 100% recall for key defects. His background blends academic robotics research (AUV navigation, ROS, EKF) from KTH and TU Berlin with product and startup experience as a co-founder of an AI-enabled fintech, giving him both theoretical depth and product instincts. He has led cross-functional pipelines using Databricks, MLflow, Streamlit and has prototyped LLM-based developer copilot tools for Li-ion cell R&D. Notably comfortable moving models from research to constrained edge and cloud environments, he pairs hands-on vision engineering with time-series forecasting and anomaly detection expertise.
9 years of coding experience
8 years of employment as a software developer
Science, Science at Delhi Public School Noida
Master's degree, Robotics and Autonomous Systems, Master's degree, Robotics and Autonomous Systems at KTH Royal Institute of Technology
Master's degree, Robotics and Autonomous Systems, Master's degree, Robotics and Autonomous Systems at Technische Universität Berlin
Summer School , Data, Visualisation and Connectivity for Healthcare, Summer School , Data, Visualisation and Connectivity for Healthcare at Coventry University
EIT Digital Alumni
Bachelor of Technology - BTech, Electronics, Bachelor of Technology - BTech, Electronics at Sri Venkateswara College, Delhi University
Hindi, Bengali, English