About

Munish Grover is a full stack web developer with a strong passion for finding elegant solutions to complex problems. With over 3 years of relevant experience, he has worked with top companies like Airtel and Morgan Stanley, and has gained expertise in Java development, machine learning, and language processing. Munish has a special interest in integrating machine learning with web development, and has worked on several projects that showcase his skills in this area. He has a deep understanding of machine learning algorithms, deep learning, and natural language processing. Currently working as a Software Consultant at Morgan Stanley, Munish has previously worked as an Associate Software Engineer and Trainee Analyst at Wissen. He holds a Bachelor's degree in Computer Science from NCU (The Northcap University) and a Nanodegree in Deep Learning from Udacity. Munish's technical skills include Java, ML, web development, Spring Boot, Spring, Deep Learning, Javascript, OpenCV, NLP, microservices, and frontend development. He is a research scientist at heart and is always looking for opportunities to learn and grow in the field of technology. In summary, Munish is a highly skilled and motivated developer who is passionate about finding innovative solutions to complex problems. His expertise in machine learning and web development makes him a valuable asset to any team.