Summary
Surya Nersu is a Principal AI Architect and Forward Deployed Engineer with 9 years of experience building production-grade agentic and GenAI systems for Fortune 500 clients. He specializes in turning vague “use AI” mandates into working prototypes in weeks and production agents in months, embedding with teams to deliver scalable, secure platforms (Vertex AI, Google ADK, LangGraph) used by thousands. His designs emphasize clear boundaries, observable seams, mapped failure modes, and measurable evaluation—practices reflected in multi-agent topologies, semantic caching, and hallucination detection strategies. Notable work includes enterprise BI MCPs with DLP and schema validation, a Milvus K8s vector store serving 100M+ embeddings sub-50ms, and performance/security wins like 60% latency reduction and 26 CVEs triaged. He publishes open-source GenAI evaluation tooling and a multi-region LLM router, blending hands-on engineering with reusable artifacts and templates for rapid reuse across industries. Based in Redmond and open to senior AI architect/forward-deployed roles, he combines consulting discipline with deep ML engineering and operational rigor.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Master's degree at National Institute of Technology Tiruchirappalli
Xth Class SSC, Xth Class SSC at CSI EM school,Eluru
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at SIR CRR College of Engg
English