Hi!
I'm a first year Ph.D. student at the University of Utah advised by Prof. Bei Wang.Before beginning my Ph.D, I worked as a Research Associate with Prof. Vijay Natarajan's group at the Indian Institute of Science, where my research focussed on coming up with interactive and scalable visualizations for analysing and exploring high resolution ocean data.
Prior to this, I had a stint at Walmart Global Tech as a software engineer.
I did my undergraduate thesis under Prof. Tathagata Ray and Prof. Sandeep S. Deshmukh, where I worked on creating a machine vision based system that sorts various assembly parts of an aerospace vehicle for the Defence Research and Development Organisation, Government of India. I graduated with a B.E. in Computer Science from BITS Pilani, Hyderabad, India, in 2021.
Current Interests
Data Visualization
Machine Learning Interpretability and Explainability
Computational Topology and Geometry
Computer Vision
Publications
A Scalable System for Visual Analysis of Ocean Data
, Upkar Singh, Varun Singh, Vijay Kumar Boda, Ingrid Hotz, Sathish S. Vadhiyar, P. N. Vinayachandran, Vijay Natarajan
Accepted at Computer Graphics Forum 2024
pdf |
video
pyParaOcean: A System for Visual Analysis of Ocean Data
, Varun Singh, Vijay Kumar Boda, Upkar Singh, Ingrid Hotz, P. N. Vinayachandran, Vijay Natarajan
EnvirVis workshop at EuroVis 2023
pdf |
video
Experience
Graduate Research Assistant
-- Working on uncertainty visualizaiton of hypergraph ensembles
-- Current work involves coming up with robust and scalable visualizations for fine resolution (1-3 km) ocean data using various visualization and topological methods
-- Developed an interactive system for oceanographers to explore, identify and track complex features of the ocean including, but not limited to, particle paths, mesoscale eddies, high salinity cores and isotherms through 3D spatiotemporal ocean data.
-- Improved efficiency of the visualization system by employing a server-client architecture and making the visualization modules parallel ready for a headless machine like a cluster or a supercomputer.
-- Working on a Parallel I/O strategy for speeding up temporal visualizations when dealing with a large number of timesteps.
-- Work published in the EnivrVis workshop at EuroVis2023.
-- Worked in the Order Management System (OMS) team that handles the life cycle of an order from its inception to its fulfillment.
-- Migrated the OMS database from a SQL based DB to non SQL based Azure CosmosDB.
-- Designed and helped in integrating an entirely new type of order, PetRx (medicines for Pets), into the existing OMS flow.
-- Contibuted to get the new Omni-Channel (a platform that combines Walmart's General Merchandise and Grocery businesses into one seamless platform) ready for holidays where orders would peak to 250,000 orders per minute.
-- Wrote modules for Automated Security Testing for REST APIs (ASTRA) for auto-detection and bulk testing the login and logout across multiple authentication APIs
-- Worked on creating a machine vision based system that automatically sorts various assembly parts of an aerospace vehicle for The Defence Research and Development Organisation, Ministry of Defence, Government of India.
-- Successfully delivered a system consisting of a hardware rig with dual camera setup to identify the part kept on its platform and accompanying software that was able to detect the parts with 100% accuracy.
-- Created a Novel Technique for measuring the Pitch of a bolt from an image.
-- Research carried out also contributed to my undergraduate thesis.
-- Responsible for maintaining and upgrading the servers of the Computer Science Department.
-- Successfully migrated department servers to a new virtualization technology while preserving all the data and environment variables.
-- Worked on studying and implementing various automated strategies for trading cryptocurrencies using indicators like Aroon Oscillator, Bollinger Bands and Trade Liquidation.
-- Backtested all the strategies on online virtual trading platforms like Tesnet and Binance.
Preprints
Development of Machine Vision Approach for Mechanical Component Identification based on its Dimension and Pitch
, Faisel Mushtaq, K Ramesh, Sandip Deshmukh, Tathagata Ray, Chandu Parimi, Praveen Tandon, Pramod Kumar Jha
pdf
Talks
pyParaOcean: A System for Visual Analysis of Ocean Data
EnvirVis Workshop at EuroVis2023
video |
description
Diving into Data: Exploring Ocean Insights through Visualization
Bangalore Vis Workshop 2023
