Jul 2023 – Feb 2024 · 7 mos · Cupertino, California, United States · On-site

May 2022 – Aug 2022 · 3 mos · Menlo Park, California, United States · On-site

Jan 2022 – May 2023 · 1 yr 4 mos · Blacksburg, Virginia, United States

• Advanced Research Computing

Apr 2021 – Jul 2021 · 3 mos

• ◦ Led the design & re-architecture of a heavily used (1M code submissions daily) monolithic code-checker service to a distributed container (Runc, Kubernetes) based run-time using Golang. This in turn improved auto-scaling of the code-checker by 80% and reduced the time to add/upgrade a language runtime by over 90%.
• ◦ Launched several highly available (99.99% uptime) components and features for the code-checker service like custom-checker allowing users to customize scoring process using custom code snippets.
• ◦ Added custom metrics using prometheus in code-checker and integrated with stack-driver for alerting, logging.
• ◦ Saved 30% in cloud infrastructure costs by moving less critical metrics to a self-hosted prometheus server.
• ◦ Led the engineering effort to improve failure rate for a critical pipeline responsible for processing over 800k HackerRank test attempts monthly which reduced overall failure rates by 70%.
• ◦ Developed a ReactJS wrapper for the monaco editor that supports LSP based auto-completions and migrated the HackerRank’s code editor from CodeMirror to Monaco.
• ◦ Decoupled the kubernetes infrastructure for Ruby on Rails based Candidate-site from HRW enabling them to scale independently.
• ◦ Created geo-distributed kubernetes clusters for the Autocomplete service to attain sub 100ms latencies.

Jan 2020 – Mar 2021 · 1 yr 2 mos

Jun 2018 – Dec 2019 · 1 yr 6 mos

Jan 2018 – May 2018 · 4 mos