About

Neel Choudhury is a highly skilled Software Engineer with over 9 years of relevant experience in the industry. He is currently working at Google as a Software Engineer Machine Learning, where he is applying his skills in machine learning and distributed systems to find meaningful patterns in large data sets to solve complex real-life problems. Neel has a passion for learning a variety of technologies and working on astonishing platforms that transform the way people do things every day. He has a strong background in ML, NLP, Python, Java, iOS, Neural Networks, CNN, Redis, Search, and infra. In his previous role at phonepe, Neel was part of the fraud detection and machine learning platform team. He worked on an edge compute service that directly pushes ML models in edge devices like Android and iOS phones. He also designed an online scoring platform that can serve machine learning model predictions in real-time. At Bloomreach, Neel was a Member of Technical Staff 3, where he designed a LSTM-CNN-CRF based neural network that extracts meaningful information like product type, brand, color, etc. from title, description, and images. He also improved the current spell correction algorithm using probabilistic Levenshtein distance, language modeling, and Viterbi algorithm. Neel has a Master of Technology (MTech) in Computational Science from Indian Institute of Science (IISc) and a Bachelor of Technology (BTech) in Computer Science from Institute of Engineering & Management, Kolkata. He also completed his Higher Secondary education from Kendriya Vidyalaya. Overall, Neel is a highly motivated and skilled Software Engineer with a passion for learning and applying new technologies to solve complex problems.