---
title: "Sai Vishnu K - Associate in Bengaluru | Tal"
description: "Meet Sai Vishnu K, AI Engineer | Agentic AI & Enterprise RAG | LangGraph · MCP · Azure OpenAI | Building production multi-agent systems | based in Bengaluru. AI stack includes antigravity, hugging face, and langchain."
image: "https://tal.club/meet/k-vishnu-sai/share-image"
---

# Sai Vishnu K on Tal

## Headline

AI Engineer \| Agentic AI &amp; Enterprise RAG \| LangGraph · MCP · Azure OpenAI \| Building production multi\-agent systems \|

## About

I build production AI systems that reason over enterprise knowledge and take action: RAG pipelines, multi\-agent workflows and LLM\-powered automation\. What I work on 🔹 Retrieval and grounding: Multimodal RAG on Azure AI Search and Azure OpenAI, combining dense\-vector and BM25 retrieval with semantic reranking\. This improved Precision@10 by 35% and cut query latency from 3\.2s to 1\.9s\. 🔹 Agentic workflows: State\-driven multi\-agent systems in LangGraph, LangChain and MCP, with supervisor\-specialist routing, ReAct reasoning, tool calling and human\-in\-the\-loop controls\. 94% tool\-execution accuracy, and workflow completion time cut from 40 to 20 minutes\. 🔹 Evaluation and safety: LLMOps with RAGAS and LangSmith evaluation gates, golden datasets and OpenTelemetry tracing, plus Responsible AI controls such as PII masking, prompt\-injection defenses and RBAC\-based isolation\. 🔹 Applied AI in the enterprise: Copilot Studio agents automating IT service workflows, and NLP and ML models for insurance claims analysis, built with Finance and business stakeholders around measurable cost outcomes\. I came into AI engineering from a data analytics background, so I design for measurable outcomes and not just demos\. Stack: Python · LangGraph · LangChain · MCP · Azure AI Foundry · Azure OpenAI · Azure AI Search · FastAPI · Docker · AKS Open to: AI Engineer, GenAI Engineer and Agentic AI roles\.

## Location

Bengaluru

## AI stack

antigravity

hugging face

langchain

langgraph

Tavily

## Work experience

Associate at Cognizant, Sep 2022 \- Present · 4 yrs 2 mos

Machine Learning Engineer at Cognizant, Sep 2022 \- Present · 4 yrs 2 mos, AI Engineer, Cognizant Technology Solutions Sep 2022 to Present · Bengaluru, India Built production RAG systems, multi\-agent workflows and LLM\-powered automation for enterprise clients on Azure\. Built state\-driven multi\-agent workflows in LangGraph, LangChain and MCP, with supervisor\-specialist routing, ReAct reasoning, tool calling and human\-in\-the\-loop controls\. Reached 94% autonomous tool\-execution accuracy, cut workflow completion time from 40 to 20 minutes and cut report turnaround by 25%\. Architected multimodal enterprise RAG pipelines for 100\+ page PDFs, text and images on Azure AI Search, Azure AI Foundry and Azure OpenAI\. Hybrid dense plus BM25 retrieval with semantic reranking improved Precision@10 by 35% and reduced hallucinations by 40%\. Engineered the retrieval, indexing and grounding layers of the NJX AI platform, serving 10,000\+ monthly queries at p95 latency under 1\.2s\. Optimized production RAG through reranking and prompt\-chain redesign, cutting latency from 3\.2s to 1\.9s and LLM inference cost by 35%\. Operationalized LLMOps with RAGAS and LangSmith evaluation gates \(Recall@K ≥ 0\.92, Precision@K ≥ 0\.88, Faithfulness ≥ 0\.90\), golden datasets, OpenTelemetry tracing and Azure Application Insights\. Built Copilot Studio agents integrated with Power Automate, ServiceNow, Teams and Outlook, automating resolution for 500\+ monthly IT tickets and cutting mean time to resolution from 4 hours to 1 hour\. Built spaCy and Hugging Face NER pipelines that improved claim\-processing accuracy by 25%\. Developed XGBoost models that improved first\-time\-right claim settlements by 10%, with projected reprocessing\-cost avoidance of $10\.6M over five years based on Finance\-agreed assumptions\. Delivered FastAPI microservices with Docker, GitHub Actions CI/CD and AKS in a 30\-member Cloud &amp; AI team, and mentored junior engineers\.

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, Madanapalle Institute of Technology &amp; Science

Bachelor of Engineering, Electrical, Electronics and Communications Engineering, Madanapalle Institute of Technology &amp; Science

[View the original profile](https://tal.club/meet/k-vishnu-sai)

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