Abhijit Gupta is a Yale Computer Science senior with a decade of software and quantitative experience, having interned at Jane Street, Sentry, Gatherly, RTI, and contributed to research projects accepted at ICMI. He builds reliable back-end systems and data pipelines—examples include a GitHub-readme generator (githubtrends) powered by BigQuery, Python, and FastAPI and a scalable ETL pipeline at Sentry using Kafka, PySpark, Airflow, GCS, and BigQuery. Comfortable at the intersection of trading research and engineering, he has hands-on experience in both low-latency quantitative work and production data infrastructure. He also brings leadership from robotics competitions—leading a 40-person team to awards—and a track record of shipping side projects that bridge developer tooling and analytics. Reachable via abhijitgupta.io, he blends curiosity-driven side projects with production-grade engineering.
10 years of coding experience
3 years of employment as a software developer
North Carolina School of Science and Mathematics
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Yale University
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Role in this project:
Back-end Developer
Contributions:598 commits, 254 PRs, 423 pushes in 2 years
Contributions summary:Abhijit primarily focused on building the back-end components for a GitHub profile readme generator. They designed and implemented a BigQuery template and wrote core back-end logic using Python and FastAPI for user and repository data retrieval from the GitHub API. The contributions also involved creating API endpoints for fetching user data and integrating external services. The user also added features to create a new system for fetching and processing data.
Contributions:3 PRs, 85 pushes, 6 branches in 1 year 7 months
backend
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