Mayank Chutani
Principal Engineer at Trustwise
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolMayank Chutani is a Principal Engineer based in Austin with a decade of experience building AI-native, cloud-first platforms from pre-seed to Series A. He specializes in the zero-to-one phase—owning end-to-end systems design, production runtime safeguards, evaluation engines, and agent infrastructure that make AI systems observable, accountable, and safe. At Trustwise he architected the core Kubernetes-based platform, shipping evaluation metrics, an AI gateway for live LLM traffic protection, and developer-facing SDKs and CLI tooling. His background includes nearly a decade at CognitiveScale where he led AI platform and ethical model-scanning efforts, and later brought LLMOps into enterprise MLOps at Tecnotree. Comfortable leading technically while remaining hands-on across Python, Go, TypeScript, and distributed infra, he’s most valuable when problems are ambiguous and stakes are high. He’s quietly practical—often building internal AI assistants and developer tools that accelerate team velocity as much as customer-facing features.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Lovely Professional University
Github Skills (48)
java9
cortex8
hive8
sql8
sql-query8
apache-spark8
lifecycle8
catalog7
presto7
neo4j-database7
spark7
cypher7
incremental-learning7
big-data7
graph7
Programming languages (6)
Github contributions (5)
CognitiveScale/generator-cortex
Mar 2018 - Jul 2019
Generates a project for Cortex platform extensions.
Contributions:17 commits, 5 PRs, 10 pushes in 1 year 4 months
cortexextensions
CognitiveScale/cortex-certifai-examples
Nov 2020 - Oct 2022
Contributions:40 reviews, 34 commits, 25 PRs in 2 years
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