Victor Rojas is an AI engineer with a decade of experience building production-grade backend systems and agentic AI workflows, currently architecting operational ML systems at Gauntlet AI. He specializes in orchestrating multi-agent pipelines, hybrid RAG stacks (FAISS + BM25 with Voyage AI embeddings and reranking), and secure clinical AI integrations that defend PHI via deterministic citation mapping and CI/CD safety gates. His engineering background spans high-throughput telehealth systems, large-scale e-commerce POS and GraphQL supergraph work, and robotics integrations, giving him a knack for taming legacy complexity into deterministic, auditable systems. Comfortable across Python, Ruby, and TypeScript, he pairs FastAPI/Pydantic backends with pragmatic DevOps (Docker, Railway, GitLab) to optimize latency and context management for deployed agents. Based in Austin, he’s as focused on reproducible, transparent AI harnesses as he is on shipping resilient production features that reduce operational burden.
10 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at University of Colorado Boulder
Example application to help demonstrate the Linkerd service mesh
Contributions:18 PRs, 164 pushes, 18 branches in 2 years 7 months
meshkuberneteslinkerdservice-mesh
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