Arihant Jain

Arihant Jain has a diverse work experience in various roles and companies. Starting in 2013, they worked as a Research Intern at the Terminal Ballistics Research Laboratory. In 2015, they became a Gandhi Fellow at Piramal Foundation. Moving forward, they joined New York University in 2018 as a Graduate Teaching Assistant for the course "ECE 3054: Signals, Systems, and Transforms," and also served as a Graduate Research Assistant, focusing on specialized hardware development for implementing Google's Wave Net algorithm.

At New York University, Arihant continued their work as a Graduate Teaching Assistant and later transitioned into roles as a Machine Learning Researcher and Computer Vision Researcher. Arihant extended the classical PDP model of semantic cognition, combining it with deep learning architectures, and designed a novel machine learning algorithm for continual learning tasks in computer vision.

In 2020, Arihant joined SharpestMinds as a Data Scientist, where they built a web app utilizing recommendation systems to provide weekly news recommendations to users. Arihant achieved notable metrics such as AUC: 0.7061 and MRR: 0.

Currently, Arihant is working at Fetch as a Machine Learning Engineer, having previously held the role of Machine Learning Engineer at the same company.

Overall, Arihant Jain has gained expertise in machine learning, computer vision, data science, and research throughout their work experience.

Arihant Jain completed their Bachelor of Engineering degree in Electrical Engineering from Punjab Engineering College, where they studied from 2011 to 2015. Afterward, they pursued a Master of Science degree in Electrical Engineering from New York University, which they attended from 2018 to 2020. Additionally, Arihant has obtained several certifications, including a Deep Learning Specialization from Coursera in January 2019, a Mathematics for Machine Learning Specialization from Coursera in July 2018, the ROBO1x: Robotics: Fundamentals certification from the University of Pennsylvania in April 2018, and the Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital certification from Coursera in April 2018.