Graduate student in Computer Science at UCSD
I'm currently pursuing my Masters in Computer Science and following the machine learning track at UCSD. Prior to this, I worked as a software engineer for a little over one year.
Expected graduation date: December 2023
GPA : 4.0 out of 4.0
CGPA : 9.37 out of 10 (Top 5% of the class)
Under Prof. Yoav Freund, working on active learning by sampling based method.
Built payment system for ITA conference in Django
Full Stack Web Developer
I have worked on several Machine and Deep learning projects. Past research includes NeRF models, active learning and CNN. I have experience with Pytorch, sklearn, numpy and pandas.
I have over one year of professional experience with JAVA as a Software Engineer. I have used JAVA and Sprngboot primarily for web development.
I have around two years of experience with Python through personal projects and coursework. I am familiar with Django and Flask framework.
I have worked extensively with Javascript, HTML, CSS for web development. I have used React framework for web development as a software engineer for more than 2 years.
I have used GoLang for personal projects and have worked with it for 6 months.
A Two-Phase Training Approach To Boost NeRF Reconstruction Speed
A command line utility that provides encrypted, fault resistant, concurrent and scalable online cloud storage solution
We dig a deep dive to get more insights about salary disparity between men and women working in San Diego
Analysis the effect of having temporal and spatial data in recommendation systems.
Feature detection and feature mapping on multiple images and image reconstruction in 3D
Using Deep Q reinforcement learning, training a AI to master a replica of space invaders made in pygame.
Visulasing Graph Traversal Algorithms By Catching Pokemon
End to end embeeded system designed using Arduino, Flask and Pytorch