About venkata
Lead Agentic & Generative AI Engineer with 8+ years of experience building production-grade AI systems across software engineering, machine learning, and applied Generative AI. I specialize in designing and delivering LLM-powered applications, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent workflows, and cloud-native AI services using LangChain, LangGraph, and Python-based backends (FastAPI). My work spans end-to-end ownership — from translating complex business workflows into AI use cases, to architecting scalable agent systems, optimizing LLM accuracy, latency, and cost, and deploying reliable solutions across AWS, Azure, and GCP. I’m particularly experienced in: Multi-agent orchestration with tool-calling and shared context Grounding LLMs using structured & unstructured enterprise data Human-in-the-loop decisioning and governance Production LLMOps: evaluation, hallucination reduction, monitoring Open to Lead / Senior Agentic & Generative AI Engineer opportunities where AI systems move beyond demos into real business impact.
Key Skills
Experience
Lead Agentic & Generative Ai Engineer
CurrentAssurant
Lead Agentic & Generative Ai Engineer
Easy Stones
* Led the design and delivery of a multi-agent AI platform automating Sales, Marketing, Inventory, and Pricing workflows. * Built a production RAG system converting structured business data into vector embeddings to enable intelligent sales conversations, recommendations, and pricing insights. * Designed LangGraph-based multi-agent architecture with specialized agents and coordinated task orchestration. * Delivered FastAPI-based services, session-aware agent memory, and Dockerized deployments for scalable runtime environments. * Optimized LLM performance through prompt engineering, retrieval tuning, and context optimization, ensuring reliability and governance.
Lead Agentic & Generative Ai Engineer
Vanguard
* Built a Generative AI–powered stock advisory platform enabling goal-based portfolio insights and human-in-the-loop decisioning. * Designed agentic workflows orchestrating risk analysis, portfolio construction, market insights, and advisor review checkpoints. * Implemented RAG pipelines grounding LLM outputs in financial research and policy documents for explainability and compliance. * Introduced intelligent LLM routing to balance cost, latency, and confidence based on advisory risk classification. * Operationalized enterprise LLMOps, including hallucination reduction, evaluation, monitoring, and cost controls.
Education
Acharya Nagarjuna University (anu), Guntur
Bachelors
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Common Questions
What is venkata's expertise?
venkata specializes in Generative AI Engineer, with expertise in agentic ai, agentic ai development, amazon web services, cloud, continuous integration and continuous delivery.
Where is venkata located?
venkata is based in san francisco, california, united states.
How much experience does venkata have?
venkata has 8+ years of professional experience.
How can I contact venkata?
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