Summary
Rohan Sharma is a Machine Learning Engineer 3 based in Hyderabad with 11 years of industry experience, specializing in NLP, deep learning, and generative AI. He has progressed through multiple engineering levels at FactSet since 2020, translating research-grade models into production systems for financial data and analytics. His background includes an MTech in ICT and hands-on internships applying ML to FX bidding and predictive tasks, reflecting a strong foundation in applied modeling and experimentation. Known for a continual-learning mindset—“Eat, Sleep, Learn, Repeat”—he blends academic rigor with practical product delivery. Colleagues value his ability to bridge research and engineering, shipping performant NLP solutions under real-world constraints. He often surfaces non-obvious gains by focusing on model robustness and deployment efficiency in production pipelines.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at National Institute of Technology Warangal
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University at Buffalo
Master's degree Statistical Machine Learning Data Science Major, Master's degree Statistical Machine Learning Data Science Major at University of Rochester
Mathematical Statistics and Probability, Mathematical Statistics and Probability at Indian School of Business
English, Hindi, Gujarati, Telugu