Hi there! I'm Keshav, a passionate Master's student diving deeper into data engineering and computing systems at Georgia Tech. Welcome to my interactive resume! To learn more about my skills and experience, please click on the resume sections below, or download a PDF version here.

If you would like to discuss more about my interests or are looking to add a passionate software developer to your team, please feel free to reach out via email or LinkedIn.

Education

Atlanta, GAAug 2025 to Apr 2027
  • M.S. Computer Science - On Campus
  • Grade:
Advanced Operating Systems
Big Data Systems and Analytics
Mississauga, ONSep 2020 to Apr 2024
  • B.Sc. Honours Computer Science
  • Grade: 3.94/4
Machine Learning
Scalable Computing
Intro to Databases

Experience

Toronto, ONJul 2024 to Jul 2025
  • Designed an automation framework using Playwright for end-to-end testing of Freedom Mobile’s (client) wireless consumer applications, reducing QA regression execution time per release by∼80 hours.
  • Streamlined the QA process for AWS microservice migration via targeted combinatorial testing, coordinating with non-technical stakeholders (credit analysts) to troubleshoot high-priority defects.
  • Trained a team of ten manual testers in Jenkins for automated script execution, enhancing team productivity.
Playwright
Typescript
JIRA
Jenkins
Toronto, ONAug 2024 to Jul 2025
  • Constructed optimized data pipelines in PyTorch that expedited feature extraction from terabyte-scale protein data by 32%, accelerating downstream analysis for a research team of medicinal chemists.
PyTorch
FastAPI
React
Toronto, ONJan 2024 to Jul 2024
  • Automated the extraction of information from personal and corporate tax returns using AWS Lambda and Textract, decreasing manual loan review time by 8% and accelerating the overall loan approval workflow.
  • Released custom web scraping tools to extract FAQ data from eight company websites and store the data in a vector database for fine tuning AI chatbot applications.
AWS
FastAPI
React
Mississauga, ONSep 2023 to present
  • Lead weekly labs and hold office hours to support students as they learn topics such as concurrency, process scheduling, memory management, and file systems.
GNU/Linux
C
git

Projects

Toronto, ONNov 2023
  • Developed a web application for thousands of users to simultaneously paint pixels of a large canvas, broadcasting updates to all users in real-time using a WebSockets API
  • Leveraged AWS serverless services such as Lambda and API Gateway to scale the system to 150k+ users, achieving canvas update latency of less than one second for 95% of users.
  • Automated provisioning of networking, storage, and compute resources using a CloudFormation template, reducing time to launch the system by 60%
Toronto, ONSep 2023
  • Collaborated with a team of three researchers to develop an automatic tool for brain tumor classification using a custom CNN architecture.
  • Engineered a custom data processing pipeline in Tensorflow for processing 2D slices of MRI scans in batches.
  • Explored approaches for visualizing the model’s decision-making processes using state-of-the-art techniques such as GradCAM.

© Keshav Worathur 2025