About

Harshit Kumar Gupta is a versatile Machine Learning professional with 8.12 years of relevant experience. Currently working as a Software Development Engineer II at Amazon, he is responsible for building scalable and responsible AI Applications (ML models) as microservices. Harshit is an expert in Java 8 and Python 3 with Scikit-learn and Tensorflow, PostgreSQL, MongoDB, and Redis databases. He also has expertise in Hadoop Ecosystem (Hive, Spark), Docker, Rancher, and AWS. Harshit has previously worked with Intel Security and Cadence Design Systems. He holds an M.Tech in Computer Technology from the Indian Institute of Technology, Delhi with 8.43/10 CGPA. His M.Tech thesis involved work for classification of Autism Spectrum Disorder using ML models. Harshit has won many prestigious academic awards and successfully undertaken many academic projects. Harshit is a versatile, creative professional with strong learning and exploring abilities, and a passion for learning Machine Learning, Deep Learning, and Optimization. He can work as an Individual contributor as well as Team Lead. Harshit has worked in various roles, including Product Engineering Architect, Senior Cognitive Engineer, and others. Harshit's experience includes building a Patient Scheduling model to efficiently schedule medical appointments, solving complex combinatorial optimization using OR-Tools, discovering patterns of features of accounts that are conducive to bad debt, and building a predictive model to predict bad debt accounts. He has also worked on improving user engagement and increasing Tax Filing by using an ML model. Harshit's education history includes a Master's Degree in Computer Technology from the Indian Institute of Technology, Delhi, and a Bachelor's of Technology in Computer Science & Engineering from Kamla Nehru Institute of Technology, Sultanpur. He has also completed Intermediate from Ondic Kanpur and High School from SVMIC Hamirpur. Harshit's tech stack includes Software Engineer, ML, NLP, AWS, Senior Software Engineer, Spark, Deep Learning, Docker, Python, Java, Computer Vision, Scikit, AI, MongoDB, Redis, Hadoop, Microservices, SQL, Spring, Apache Hive, Pandas, MySQL, Spring Boot, DAO, SVM, XGBoost, Random Forest, Web, Neo4j, Decentralized, CNN, OpenCV, Javascript, Neural Networks, NoSQL, and Mobile.