Akshit Annadi is a software engineer with eight years of hands-on experience building full-stack web services and developer-facing tools, currently on the Plaid engineering team in New York. A UC Berkeley EECS student and former CS61B instructor, he blends production engineering with a strong foundation in data structures, algorithms, and teaching. His internship work spans payments integrations, real-time data pipelines with Kafka, GraphQL APIs, and developer dashboards—demonstrating fluency across Node, React, Ruby/Rails, and cloud tooling. He’s shipped user-facing features (webhooks, payment-initiation demos) and internal observability UIs (hyperparameter tuning dashboard), pairing product sensibility with implementation detail. Comfortable in both startup and enterprise environments, he also has research experience applying computational tools to biology and perceptual experiments, reflecting a curiosity for cross-disciplinary problems. Reachable via aannadi.github.io, he actively seeks projects that combine scalable systems engineering with meaningful user impact.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at University of California, Berkeley
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Contributions:20 pushes, 3 branches in 2 years 1 month
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