Regional Director (ASEAN, Korea, Greater China) - Solutions Engineering
Singapore, Singapore
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Summary
👤
Senior
🎓
Top School
Arseny Chernov is a results-driven regional director and solutions engineering leader with 10+ years turning complex legacy systems and hyperscale ML infrastructure into productized revenue across ASEAN, Korea, and Greater China. With an MIT Data Science micromasters and a track record from startups to Google and Databricks, he builds and scales Forward Deployed Engineering teams that close the field-to-product loop while enforcing commercial rigor on multi-million dollar deployments. He specializes in deploying non-deterministic, agentic AI into highly regulated APJ environments, architecting agent-ready domains with Non-Human Identity, Policy-as-Code, and careful slicing of monoliths like banking cores. A hands-on player-coach, he prototypes rapidly, whiteboards large-system transforms, and has personally rescued government demos by debugging Java identity backends and tuning inference stacks on Google TPUs for massive user bases. His open-source contributions to GCP Terraform landing zones show a pragmatic focus on reliable, automatable cloud infrastructure that complements his enterprise GTM and security-first mindset.
10 years of coding experience
7 years of employment as a software developer
MITx Micromasters, Statistics and Data Science, MITx Micromasters, Statistics and Data Science at Massachusetts Institute of Technology
Master of Engineering - MEng, Radiolinks, Mobile Communications, Multimedia, Master of Engineering - MEng, Radiolinks, Mobile Communications, Multimedia at St. Petersburg State University of Telecommunications named after prof. M.A. Bonch-Bruevich
End-to-end modular samples and landing zones toolkit for Terraform on GCP.
Role in this project:
Cloud Engineer / Infrastructure Engineer
Contributions:2 reviews, 15 commits, 6 PRs in 8 days
Contributions summary:Arseny primarily contributed to the cloud-foundation-fabric repository by enhancing the Cloud Asset Inventory export functionality to BigQuery. Their work involved adding features like target node specification, handling table overwrites, and allowing optional BQ table configuration for file exports. They also made adjustments to file export configurations and updated test plans, indicating a focus on improving the reliability and flexibility of the cloud infrastructure management tool.
Contributions:7 commits, 6 pushes, 1 branch in 5 years 4 months
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