About

Rohit Sharma is a highly skilled Data and Applied Scientist with a passion for Artificial Intelligence, Machine Learning, Data Science, and Quantitative Finance. He is currently working as an Artificial Intelligence Researcher (Engineer II) at American Express (AmEx), where he is involved in the development of generative models in the domain of Deep Learning. He is responsible for implementing Deep Learning models with parallel and distributed systems for large-scale use by various business teams. Rohit has been awarded Extra-mile recognition for his exceptional work. Rohit has a Bachelor of Technology in Computer Science (with a minor in Mathematics) from the prestigious Indian Institute of Technology Gandhinagar (IIT Gn). He has over 4.45 years of relevant experience, during which he has worked on problems involving Machine Learning, Natural Language Processing, and Deep Learning. He has also worked on creating a model that produces high-quality synthetic tabular data in the financial domain using Generative Adversarial Nets. Rohit is proficient in various Machine Learning frameworks such as Tensorflow, PyTorch, Spark, and Keras. He is also skilled in programming languages such as Python, SQL, and R. Rohit has experience in Reinforcement Learning, language models, Search, Blockchain, XGBoost, Pandas, Computer Vision, Bitcoin, SVM, Keras, CNN, Spark, Scikit, Big Data, Hadoop, Web, and Apache Hive. With his extensive knowledge and experience, Rohit is a valuable asset to any organization looking to leverage Machine Learning and Deep Learning technologies to drive business growth.