Summary
Sumit Sidana is a Senior Applied Scientist based in Berlin with nine years of experience building recommender systems, relevancy search, and NLP-powered personalization for high-scale consumer products. He holds a PhD from Université Grenoble Alpes where he published at SIGIR and RECSYS, contributed public datasets, and developed novel topic and deep learning models that addressed popularity bias in recommendations. At Wolt, Delivery Hero and Takeaway.com he moved from data scientist to senior applied scientist roles focused on ranking, contextual bandits and reinforcement learning to optimize user relevance and engagement. Sumit blends rigorous academic research with production-savvy ML engineering, shipping models that improve implicit-feedback prediction in real environments. He is comfortable spanning the full ML lifecycle—feature engineering, experimentation, and deployment—and has a track record of translating research insights into measurable product impact. A detail that often goes unnoticed: his PhD work included building benchmarks and datasets still useful to the recommender research community.
9 years of coding experience
11 years of employment as a software developer
Master’s of Technology in Computer Science and Engineering Computer Science, Master’s of Technology in Computer Science and Engineering Computer Science at International Institute of Information Technology (IIIT), Hyderabad, India
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Grenoble Alpes
Bal Bharti Public School, Pitampura
Bachelor’s of Technology in Information Technology, Bachelor’s of Technology in Information Technology at Swami Vivekanand Institute of Engineering and Technology, Punjab, India