About

Nilay Pochhi is a highly skilled graduate student majoring in Computer Science at the University of California, Los Angeles. With a keen interest in Computer Vision, Computer Graphics, and Backend Engineering, he has gained extensive experience in these fields through his work at various top-tier companies. Nilay has previously worked as a Machine Learning Engineer Intern at Snap Inc, where he worked on improving the company's pipeline for 3D stereo reconstruction. He has also worked as a Software Engineer Intern at Rippling, where he built the infrastructure for third-party data and workflow actions. Currently, he is working as a Software Engineer Intern at the same company, where he is working on RQL, a query language for extracting and calculating data within Rippling. In addition to his professional experience, Nilay has also completed a Bachelor's degree in Computer Science from the Indian Institute of Technology, Kharagpur. He is currently pursuing a Master's degree in Computer Science from the University of California, Los Angeles, which is expected to be completed in December 2023. Nilay is a highly skilled and knowledgeable individual with a wide range of technical skills. He is proficient in Python, C, SQL, Javascript, and has experience working with a variety of tools and technologies, including TensorFlow, Pandas, Flask, Pytorch, and more. He is also well-versed in the latest trends in the industry, including Blockchain and Decentralised technologies. Overall, Nilay is a dedicated and passionate individual with a strong work ethic and a desire to learn and grow in his field. He is open to exploring new opportunities and is always willing to help others in any way he can.