About Me
I am a mathematics and computer science student specializing in Data Science and Artificial Intelligence. My current focus is on computer vision and its application with 2D pose estimation and categorical image identification.
I am well-versed with UNets, Data Clustering and Big Data Processing. Additionally, I am a skilled programmer in Python, Java, C, C++, R and ARM.
Education
University of California San Diego
2021 - Present
BS Mathematics and Computer Science
BS Cognitive Science Spec. Machine Learning and Neural Computation
Experience
Talmo Lab
Creating a Self-Supervised Keypoint-Discovery addition to SLEAP.AI under Dr. Talmo Pereira using Heatmap styled jigsaw principle and BKinD.
Reinforcement Learning Poker Robot
Deep Learning Developer
Dec 2021 - Jun 2022
https://github.com/AdvaithRavishankar/Poker.AI
Data Science Student Soceity
Created a Reinforcement Learning Based Poker Robot in collaboration with UCSD’s Data Science Student Soceity. Created a functional model using Stable.Baseline3 and created a functional GUI which can be found in the Github Repository.
India's Leading Corporate Data Firm
Project objective was cluster 1.6 million companies to help banks identify companies for lending
Developed a smart search algorithm using biased clustering and an LSTM neural network
Prototyped a backend website using Django to present interactive network graph and algorithm visualizations from bokeh
No.1 Robo-Advisory Platform Firm in India
Goal to optimize investment portfolios by statistically analyzing indices and stocks Produced an application which would cluster all indices and stocks on a real-time basis on statistical measures Automatically ranked potential investments for return-on-investment optimization
Artificial Intelligence Led Startup
Tasked to create a prediction algorithm to find the probability of a YouTube music video going viral Web scraped viral and non-viral music videos from YouTube Created a hybrid neural network to generate the probability of virality
Leading Health and Information Technology Firm
Project aimed to correlate the incidence of malaria to local infrastructure and environmental conditions. Goal was to aid the government to reduce the spread of the disease in the country Designed logistical and linear regression algorithms to find regional hotspots of disease spread
Publications
Improving Nutrition in India
Pre-Print on NutriXiv
Oct 2020
A short mathematical study analyzing the dietary nutrition of children living in destitute children care facilities in order to improve their diet distribution.
Pre-Print Link: https://osf.io/preprints/nutrixiv/e4qpu