Summary
Shaonty Dutta is a data scientist with a decade of hands-on experience applying machine learning, LLMs and optimization to industrial and product problems from Düsseldorf, Germany. At Outokumpu he delivered production-grade solutions—object detection for steel surface inspection, Pyomo-based linear programming for raw material recipes, and LLM-enabled extraction tools—that measurably reduced waste and improved operational efficiency. His background spans computer vision, information extraction, and microservices, with prior roles building image pipelines, REST APIs, and scalable services in both research and startup settings. Comfortable moving models from research to production, he pairs technical depth with stakeholder collaboration to ensure solutions drive business value. A self-made engineer who collects hobbies outside work, he’s currently complementing his technical roots with an MBA at WHU, signaling an increasing focus on the intersection of ML and business impact.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Bangladesh University
Master's degree, Computational Modeling and Simulation, track: Visual Computing, Master's degree, Computational Modeling and Simulation, track: Visual Computing at Technische Universität Dresden
Master of Business Administration - MBA, Master of Business Administration - MBA at WHU – Otto Beisheim School of Management
English, Bangla, German