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Harsh Sahu

@harshsahu

Backend engineer at AppPerfect Corp. building Go services for GPU cloud capacity governance.

At AppPerfect Corp., I design, build, and maintain Go backend services for a GPU cloud capacity governance platform serving 100K+ requests per day across close to 300 production clusters.

At NVIDIA, I built a Temporal-based capacity planning engine and improved cluster-update latency by 77%. I also designed a fault-tolerant GPU delivery forecasting integration and established a versioned, reversible schema migration framework.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer II

Current

AppPerfect Corp.

Sep 2023 - Present (3 years 2 months)

Design, build and maintain backend services for a GPU cloud capacity governance platform (Go, Temporal, PostgreSQL) serving 100K+ requests per day across close to 300 active production clusters. Partner with product and engineering teams to deliver features end to end, improve API and query performance, and keep critical capacity workflows reliable in production.

Go Temporal PostgreSQL API Design Performance Optimization Distributed Systems

Backend Engineer

NVIDIA

Built the time-phased capacity planning engine behind NVIDIA's GPU fleet (~300 clusters) and architected integration of ML-powered GPU delivery forecasting. Enforced delivery-level allocation limits, cut cluster-update latency by 77%, and eliminated N+1 fan-out with a unified audit API.