Yash Chandra

Software Engineer at Open Source Development

India
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Summary

👤
Senior
🎓
Top School
Yash Chandra is a Staff Software Engineer with 10 years of experience building scalable backend systems, game server architectures, and developer tooling for fast-growing products in India. He’s led end-to-end technical efforts at MPL and CloudFeather Games—architecting a poker backend, automating Grafana dashboards, and designing a deployment model that cut infra costs by ~$40K/month while improving stability. At CloudFeather he shipped a custom Kubernetes-based game server orchestrator, a 30+ game async platform (Bountyverse), and ML pipelines for score extraction using TensorFlow Lite. Prior roles at Grab and Urban Company show strong systems and SRE chops—he built a Kafka delay-queue processing 100K+ settlements in 15 minutes and an integration test harness spanning Redis, Postgres, Aerospike, and Kafka. An active open-source contributor, Yash has fixed bugs and added features across high-profile repos including Grafana, RedisInsight, and popular ML tooling, and maintains utility projects like an Upscayl CLI for image upscaling. He thrives at the intersection of product impact and systems thinking, preferring hands-on solutions that reduce cost and operational blast radius.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Indian Institute of Technology (Banaras Hindu University), Varanasi
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Github Skills (103)

dashboard10
postgresql10
grafana10
elasticsearch10
influxdb10
image-upscaling10
monitoring10
go-redis10
django10
multimodal10
data-visualization10
localai10
observability10
mysql10
analytics10

Programming languages (6)

TypeScriptJavaShellJavaScriptGoPython

Github contributions (5)

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yashschandra/upscayl-cli

Apr 2025 - May 2026

Contributions:3 releases, 1 PR, 11 pushes in 1 year 1 month
yashschandra/bitcask

Oct 2020 - Mar 2021

🔑A high performance Key/Value store written in Go with a predictable read/write performance and high throughput. Uses a Bitcask on-disk layout (LSM+WAL) similar to Riak.
Contributions:33 pushes, 8 branches in 5 months
lrulsmgosimilarkey-value-store
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