About

Ashish Kumar Choubey is a highly motivated Software Engineer with a keen interest in AI and Deep Learning. He holds a Master of Technology degree in Computer Science and Engineering from the Indian Institute of Technology Bhubaneswar and a Bachelor's degree in Computer Science from Government College of Engineering and Ceramic Technology. Ashish has nearly 3 years of experience in the field of Software Engineering and Research Science. Ashish has a strong background in NLP, CNN, and AI technologies. During his tenure as a Research Intern at IIT Kharagpur, he worked on building an automatic Drunk Text Prediction System with tweets extracted using the Twitter API. At Wipro, he worked on building PoCs using AI technologies and leveraging data from Enterprise Data Management tools. One of their PoCs made it among the top 5 in Informatica EDC Hackathon. Ashish has also worked on Deep Learning on IoT devices, where he developed a distributed CNN algorithm for Scream Detection. Ashish is passionate about DSA coding and building software that impacts millions of users. He has a deep interest in AI and studies various Deep Learning Algorithms, takes Deep Learning Courses, and works on Deep Tech projects. He is also a big fan of Andrew Ng's teachings and Alexander Amini. Ashish currently works as a Software Engineer at Analog Devices. In his previous role as a Project Engineer at Wipro, he worked on ETL, Informatica PowerCenter, Teradata, and SQL. He was responsible for finding out errors in the ETL pipeline and correcting them. He also designed Digital Data Trust, a rating system to help organizations evaluate their data across dimensions like Data Quality, Data Governance, Data Intelligence, and Data Security. Ashish is a quick learner and a team player with excellent communication skills. He is proficient in various technologies such as SQL, ETL, Pandas, Flask, Frontend, and Backend.