Rushik T.
About Rushik T.
Rushik T. is a Machine Learning Engineer at Cherre in New York, specializing in predictive modeling and natural language processing. He has extensive experience in developing machine learning pipelines and has previously worked at Decooda and the Indian Institute of Technology, Gandhinagar.
Work at Cherre
Rushik T. has been employed at Cherre as a Machine Learning Engineer since 2021. In this role, he applies his expertise in developing machine learning models and pipelines to enhance the company's data analytics capabilities. His work focuses on leveraging predictive modeling and natural language processing to drive insights in various applications.
Previous Experience in AI and Deep Learning
Before joining Cherre, Rushik T. worked at Decooda as an Artificial Intelligence and Deep Learning Engineer from 2018 to 2021. During this time, he contributed to projects that involved advanced machine learning techniques and deep learning frameworks, enhancing the company's AI offerings. He also served as a Research Assistant at the Indian Institute of Technology, Gandhinagar from 2014 to 2015, where he supported various research initiatives.
Educational Background
Rushik T. holds a Bachelor of Engineering (B.E.) in Electrical Engineering from Gujarat Technological University, where he studied from 2010 to 2014. He later pursued a Master of Science (M.S.) in Computer Science at The George Washington University - School of Engineering & Applied Science, completing his studies from 2016 to 2017. His educational background provides a solid foundation for his work in machine learning and artificial intelligence.
Technical Skills and Expertise
Rushik T. possesses a range of technical skills relevant to machine learning and data science. He has expertise in developing end-to-end machine learning and deep learning pipelines, utilizing technologies such as Docker, Docker Compose, and Airflow. He is proficient in TensorFlow and Keras for deep learning applications and employs Kafka for data streaming. His skills extend to predictive modeling, natural language processing, time series analysis, and database schema development, with proficiency in SQL and Postgres.