Riya Chakraborty
Software Engineer at Chime
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolRiya Chakraborty is a software engineer based in the San Francisco Bay Area with six years of experience building scalable data and infrastructure systems. She spent multiple roles at Sentry, contributing notably to the metrics, indexing, and rate-limiting subsystems of a widely used open-source error tracking platform—adding Kafka-based metrics, Redis Cluster fixes, and refined cache key strategies. After internships at Sentry and Twitter focused on search, storage, and data platform infrastructure, she moved into production engineering work and now applies that expertise at Chime. Her background blends hands-on backend systems work with research experience in NLP and analytics from Columbia Engineering. Colleagues describe her as pragmatic and detail-oriented, able to turn complex distributed systems requirements into deployable solutions. An under-the-radar strength is her experience driving compatibility and rollout mechanisms that reduce operational friction in large-scale telemetry systems.
6 years of coding experience
5 years of employment as a software developer
St. John's SchoolBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Columbia University
Github Skills (16)
caching10
kafka10
sentry10
postgresql10
backend10
indexing10
python10
back-end-development10
redis10
performance-monitoring9
data-structure9
database-design9
monitoring9
data-structures9
error-logging9
Programming languages (5)
Github contributions (5)
getsentry/sentry
May 2021 - May 2021
Developer-first error tracking and performance monitoring
Role in this project:
Back-end Developer
Back-end DeveloperContributions:248 reviews, 2 commits, 87 PRs in 3 days
Contributions summary:Riya contributed primarily to the metrics system within the Sentry platform. Their work involved implementing gradual rollout mechanisms for cardinality limiters, adding use case awareness to the indexer, and introducing new options for rate limiters. They also addressed Redis Cluster compatibility issues and switched from `mget` to `get`. Furthermore, they implemented a Kafka-based metrics interface and made significant changes to the cache key structure to align with the new use cases.
monitorpythonsentrydjangoerror-monitoring
getsentry/streams
Jan 2025 - Apr 2025
The Sentry Streaming Platform
Contributions:119 reviews, 28 PRs, 165 pushes in 2 months
tag-to-be-production-20250128
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