About

Manesh Narayan is a Data Scientist with over 3 years of experience executing data-driven solutions to increase efficiency, accuracy and utility of data processing. He has a graduate degree in BE (CS) and MSc (Biological Sciences) from BITS Pilani. Manesh has worked on a variety of problems in the domains of High Performance Computing, Machine Learning and Computational Biology. He is passionate about solving interesting and complex problem statements. Manesh is currently working as a Machine Learning Engineer at Coinbase. Prior to this, he was a Senior Machine Learning Scientist at Agara where he built the NLU for a 0-1 Conversational AI product, which was later acquired by Coinbase. He has also worked as an Associate Data Scientist at Zendrive where he handled data engineering and analysis at scale for multiple projects using R and Python. Manesh has designed and implemented pipelines for fetching and migrating data to efficient nested parquet format. He has also implemented a ride matching API for carpooling using driver safety scores and route matching. Manesh's educational background and technical skills include ML, NLU, AI, Research Scientist, Web3, Data Scientist, Data Engineering, and Python. He has a relevant experience of 4.10 years. Manesh is an expert in building NLU models for conversational AI and has a deep understanding of machine learning algorithms. He is passionate about exploring new technologies and implementing them in his work. Manesh has a strong track record of delivering high-quality solutions that meet the requirements of his clients. He is a team player and has excellent communication skills.