About

Tanishk Dudi is a highly motivated and passionate Software Engineer currently pursuing his B.Tech from Malviya National Institute of Technology (MNIT), Jaipur. He is a Core Team Lead at Zine MNIT, a premier robotics group of NIT Jaipur, where he actively participates in various robotics competitions and hackathons across the country. His interest in the field of Mechanics has led him to gain working experience with designing software such as Solidworks, Fusion360, Inventor, and AutoCAD 2D. Tanishk's passion towards the field of Computer Science has made him work and learn restlessly in domains such as software development, machine learning, artificial intelligence, data preprocessing, data visualization, NLP, web development, and coding (Python, C++). He has participated in robotics events throughout the country in his initial years in the organization. Recently, he has shifted his interest in research and has been successfully working in the field of path planning for autonomous robots with a paper published in SICE 2020 (Japan) while the other paper is online. He and his team have been working on projects such as intelligent chat-bots and voice assistants for specific tasks, taking inspiration from Google and Alexa skills using Python’s libraries for sentiment-analysis. Tanishk has relevant experience of 2.28 years, including an internship as a Trainee at National Engineering Industries Ltd. NBC Bearings, where he worked under the senior engineering (standard room) in the ball bearing division. He analyzed the defects in the rotating parts of the bearing using waviness M/C and deduced standards for different series of parts by taking readings after every operation on waviness M/C. He is also a Member of IEEE, the world's largest technical professional organization for the advancement of technology for the benefit of humanity. He has been actively working on his research projects majorly in the domain of path planning and navigation and has successfully published papers related to the same in international and national IEEE affiliated conferences. Tanishk's Tech Stack includes Software Engineering, Python, Web, NLP, Supervised Learning, Django, ML, Research Scientist, AI, and Mobile. He is a highly motivated and dedicated individual with a passion for learning and a desire to excel in his field.