About

Suchet Aggarwal is a highly efficient and motivated Computer Science student with experience collaborating with teammates to develop projects that solve real-world problems. He is currently pursuing his Bachelor of Technology degree in Computer Science at Indraprastha Institute of Information Technology, Delhi, and is working as a Teaching Assistant for the course "Information Retrieval." Suchet has a strong understanding of Mathematics for Computer Science and is well-versed in Data Structures and Algorithms. He has a profound love for Neural Nets and Deep Learning and is successful in quickly building skills, self-teaching, and acquiring new knowledge. Suchet has gained valuable experience through his internships at Indraprastha Institute of Information Technology, Delhi, and Microsoft. As a Research Intern, he worked on Path Planning and implementation for a self-driving project called Swarath, which was a Project Under the Infosys - Centre of Artificial Intelligence [C.A.I.] – IIITD. He integrated a planner named bug flood, which is a real-time path planning algorithm with the main framework of the car and compared its accuracy and reliability with commonly available planners included majorly used libraries like OMPL. As a Software Engineer Intern at Microsoft, he was a part of the Word online team, where he designed and developed a new user interface for the toolbar section for the online word app for a more interactive and immersive user experience. Suchet's technical skills include Software Engineering, Information Retrieval, Deep Learning, and Research Science. He has relevant experience of 0.35 years and is passionate about using his skills to solve real-world problems.