Summary
Amitesh Sharma is a Senior Data Scientist with 10 years of experience applying machine learning across predictive analytics, computer vision, NLP, and reinforcement learning, currently focusing on large language models, generative AI, and agentic frameworks at JPMorgan Chase. He holds an M.Tech in Machine Learning and Computing from the Indian Institute of Space Science and Technology and has delivered end-to-end solutions from production recommender systems and explainability libraries to RAG-based survey summarization. At Fidelity he built multi-armed bandit recommenders, lead-generation deep learning pipelines, and an internal Explainable AI toolkit used across teams, demonstrating both research depth and engineering rigor. Earlier work includes multimodal video summarization, automated question generation, and RL-based ad scheduling that balanced business constraints and profitability. Known for bridging research prototypes and robust production systems, he often pairs transformer-based models with practical retrieval and featurization strategies to reduce latency and improve relevance. Based in Mumbai, he combines strong academic foundations with a proven track record of shipping impactful ML systems in finance and media domains.
10 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech, Machine Learning and Computing, 8.63/10, Master of Technology - MTech, Machine Learning and Computing, 8.63/10 at Indian Institute of Space Science and Technology
Bachelor of Engineering - BE, Computer Engineering, 7.78/10, Bachelor of Engineering - BE, Computer Engineering, 7.78/10 at Rajiv Gandhi Institute Of Technology
English, Hindi, Marathi