Bhushan Kotnis is a Senior AI Engineer with 10 years of experience bridging NLP research and production-grade ML systems, currently driving AI work at Synera. He has a strong publication record in top-tier venues (ACL, EMNLP, AAAI) and a track record of turning research—multilingual information extraction, knowledge graph construction, and explainable inference—into funded technology transfers and patents. Bhushan has led LLM evaluation, RAG, prompt optimization and retrieval efforts for real-world products across manufacturing, public safety, biomedical and media domains, reducing answer variance and enabling multilingual QA. He blends deep technical know-how (PyTorch, graph embeddings, knowledge graphs, NLG) with pragmatic engineering—rapid prototyping to shipable features like audio, image QnA and troubleshooting in AI platforms. A former NEC Labs research scientist and IISc PhD, he pairs academic rigor with hands-on systems delivery and a knack for improving link-prediction and negative-sampling strategies that materially boosted model performance. Based in Weil am Rhein, he focuses on practical, explainable AI that connects unstructured text to actionable knowledge.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Optimizing Campaigns in Social Networks, Doctor of Philosophy - PhD Optimizing Campaigns in Social Networks at Indian Institute of Science (IISc)
Master of Science (M.S.) Electrical Electronics and Communications Engineering, Master of Science (M.S.) Electrical Electronics and Communications Engineering at Rutgers University
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