Software Engineer Intern — Red Hat

Overview

Developed multi‑tenancy features for the ml‑metadata project to better support large‑scale ML workflows. Designed schemas, wrote performant queries, and implemented services in C++ and Go, with Bazel builds and Kubernetes‑based integration testing.

Key contributions

• Introduced tenant‑aware entities and isolation guarantees across metadata operations.
• Authored migrations and indexes improving query performance under multi‑tenant load.
• Hardened interfaces with validation and idempotent operations.
• Created integration environments on Kubernetes to validate correctness and performance.

Technical highlights

• C++ services with Bazel; gRPC/REST boundaries; protobuf schema evolution.
• Go utilities for orchestration and data validation.
• DB design: partitioning/tenant scoping, indexes, and query plans.

Impact

• Enabled scalable, secure multi‑tenant usage for teams running concurrent ML pipelines.
• Reduced cross‑tenant interference and improved metadata query latency.