Sharwin Bobde is a Machine Learning Engineer based in the Netherlands with eight years of experience applying deep learning, big data, evolutionary algorithms, and distributed systems across domains from medical data analysis to signal processing and recommendation systems. He holds an MSc in Computer Science (Data Science & Technology) from TU Delft and has combined research-led projects—supporting EU-funded music recognition work—with industry roles at PAXX and Albert Heijn. Comfortable moving models from prototype to production, he has built autonomous-drone training pipelines with Unity ML-Agents and embedded platforms (Jetson TX2) and designed user-centric recommender solutions. His background as a teaching assistant and student mentor highlights strong communication and pedagogy alongside technical depth. Colleagues describe him as pragmatic and curious, equally at home tuning model performance and architecting scalable data workflows.
8 years of coding experience
4 years of employment as a software developer
HSC, Science, A, HSC, Science, A at Fergusson College
TU Delft
Bachelor of Engineering - BE, Information Technology, 8.33, Bachelor of Engineering - BE, Information Technology, 8.33 at Maharashtra Institute of Technology
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Sharwin Bobde - Machine Learning Engineer at Albert Heijn