Resume

Work Experience

Wells Fargo Inc.

Role: Full Stack Web Developer

Time: July 2020 - August 2022

Location: San Francisco, CA

• Web Development: Collaborated with a team of 30+ developers to build an internal React/Redux framework and support platform developers implementing reusable components
• Backend: Led team of 3+ internal developers to maintain continuous delivery and deployment of deliverables through NodeJS, Webpack, and Jenkins
• Wrote unit, integration, and functional tests for all components using Jest, Enzyme, WebdriverIO and other tools

Trifecta Inc

Role: Full Stack Web Developer and Data Visualization Engineer

Time: January 2019 - January 2020

Location: Palo Alto, CA

• Web Development: Designed and managed backend and frontend infrastructure for company website employing React/Redux combined with NodeJS and ExpressJS
• Data Visualization: Leveraged D3JS to visualize a novel Blockchain algorithm purposed in 10+ VC presentations and academic conferences

Education

Master of Science in Software Engineering from Carnegie Mellon University, Silicon Valley

• Expected Graduation Date: August 2023
• Cumulative GPA: 3.87/4.00
• Relevant Coursework: Software Engineering Methods, Software Design and Architecture, Decision Analysis and Economics for Software Engineers, DevOps and Continuous Integration, Applied Distributed Systems, Deep Learning

Bachelor of Science in Computer Science from University of California, Los Angeles

• Graduation Date: June 2019
• Cumulative GPA: 3.834/4.000
• Awards: 5 times on UCLA Engineering School’s Dean’s List, Graduated with Summa Cum Laude Honors

Projects

• Gamified Student Evaluation Platform - Designed and constructed gamified platform to improve student peer review experience at Carnegie Mellon University. Product is currently under end user testing at CMU under professor supervision. Tech: Django, React, Redux, AWS EC2, AWS S3, AWS RDS
• Relational DALL-E - Enhanced the existing Deep Learning DALL-E image-to-text generative model to be more spatially aware using Relational Networks. Model improved validation accuracy from 25.5% to 31.7% - a 6.2% increase in accuracy Tech: Python, Pytorch
• Threadalytics - Basketball Game Thread Analysis - https://threadalytics.com (Sentiment Analysis, Data Visualization, Frontend Development, Backend Development) - Parsed game thread comments from Reddit, to design a sentiment model to capture fan mood for each game of the regular season. Tech: Python, TensorFlow, ReactJS, NodeJS
• Prism Algorithm Visualization (Data Visualization) - Modeled the evolution of the Longest Chain Blockchain Protocol into the novel award-winning Prism Blockchain Protocol: https://arxiv.org/abs/1810.08092. Visualization can be found at www.trifectachain.com/trifecta. Tech: ReactJS, Javascript, D3JS
• Basketball Reference Scraper (Data Analytics, Data Scraping) - Basketball Reference is a great resource to aggregate statistics on NBA teams, seasons, players, and games. Constructed a package providing methods to acquire data for all these categories in pre-parsed and simplified formats in Python for avid sports analysts. Library can be found at github.com/vishaalagartha/basketball reference scraper (227 Github stars and 81 forks). Tech: Python
• d3-plot3d (Web Development, Data Visualization) Developed a D3JS plugin allowing users to plot 3D data, lines, polygons, curves, and surfaces. Plugin scales base D3JS 2-D visualization to 3-D allowing engineers to create more complex charts and graphics. Tech: JavaScript

Extracurriculars

• 2017-ongoing: Upsilon Pi Epsilon Member
• 2017-ongoing: Tau Beta Pi Member