Sai Vipul Mohan

Sai Vipul Mohan has had a varied work experience since 2020. In 2020, they worked as a Machine Learning Intern at UST Global, where they worked to address the Image Captioning problem statement by developing deep learning models and training them on the Flickr 8k dataset. In 2021, they joined Kwanzoo - The Open Go-to-Market (GTM) Platform for Global B2B Enterprises, where they worked as a Software Development Engineer and a Software Development Engineer Intern. In their role as a Software Development Engineer, they designed and developed front-end screens using the VueJS framework as part of the Marketer 3.0 release. Sai Vipul also developed the backend for CRUD functionality on RDS and non-RDS databases and exposed API endpoints to be accessed from the front-end in Java using Spring Boot. As a Software Development Engineer Intern, they worked on the design and development of the monitoring tool using Spring Boot Application which monitored corporate data from Google Display & Video 360 and Appnexus Demand Side Platforms. Sai Vipul is currently employed as a System Engineer at SubCom (Subconscious Compute).

Sai Vipul Mohan is currently a student at the Indian Institute of Technology, Palakkad, where they are pursuing a Bachelor of Technology in Computer Science. Sai Vipul is expected to graduate in 2022. Additionally, they have obtained certifications from Coursera in Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, and Structuring Machine Learning Projects, all in 2020.