Ahrav Dutta is an experienced SDE2 with nine years building high-performance, cloud-native systems using Go, Python, and Kubernetes, now at Amazon after a lead engineering role at Truffle Security. He rearchitected Truffle鈥檚 Archive and Git scanning pipelines to cut memory by ~40% and double throughput for large customers, and contributed thread-safe refactors to the popular open-source TruffleHog credential-scanning project. Comfortable across backend, DevOps, and observability, Ahrav also built real-time repo analysis and integrations with Slack, Teams, and Jira for enterprise security workflows. His background spans embedded backend work for Google projects and full-stack migrations, and he pairs a UCLA biology degree with advanced coursework in deep learning and reinforcement learning鈥攁n unusual mix that fuels pragmatic curiosity and systems-level thinking.
9 years of coding experience
9 years of employment as a software developer
Computer Programming, Computer Programming at Coding Dojo
Deep Reinforcement Learning Nanodegree Computer Software Engineering, Deep Reinforcement Learning Nanodegree Computer Software Engineering at Udacity
Full Stack Web Development Certification Computer Software Engineering, Full Stack Web Development Certification Computer Software Engineering at freeCodeCamp
University of California, Los Angeles
HIGH SCHOOL DIPLOMA, HIGH SCHOOL DIPLOMA at Southwest High School
Contributions:94 releases, 1579 reviews, 103 commits in 9 months
Contributions summary:Ahrav primarily contributed to the refactoring and optimization of the codebase for the TruffleHog project, focusing on improving the codebase readability and modularity. They refactored the Git source code to introduce thread-safe structures, optimize chunking processes, and handle repository scans. The contributions show interaction with codebase infrastructure around Git.
Automatically export CloudSQL databases to Google Cloud Storage
Contributions:55 reviews, 59 PRs, 58 pushes in 1 year 3 months
gcpexportgcloudcloudsqlgoogle-cloud-platform
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