Venkat Mutnuru

About Venkat Mutnuru

I lead AI Platform Engineering with a focus on Enterprise Search, Retrieval-Augmented Generation (RAG), Agentic AI, and large-scale integration ecosystems. My work spans designing high-performance search and RAG pipelines, building autonomous agent workflows using MCP+A2A protocols, and architecting vector-DB powered retrieval systems for complex enterprise environments.I’ve delivered platforms that operate at massive scale — from 100+ enterprise connectors built in record time to Conversational AI systems handling 200K+ calls per day and 100M+ calls annually. I focus heavily on low-latency, high-throughput architectures, GenAI-driven engineering acceleration, and platform reliability.I build and lead high-velocity engineering teams across Search, RAG, NLP/ASR, Integrations, and Platform Engineering. I own both product and engineering roadmaps, drive end-to-end delivery, and partner closely with customers on architecture and complex AI adoption challenges.My passion is in designing AI systems that are fast, reliable, safe, and enterprise-ready — and in shaping engineering cultures that move with clarity, quality, and speed.

Experience

1. AVP Engineering

   Kore.ai

   Jan 2024 — Present · Hyderabad, IN

   Directed engineering for Enterprise Search, Retrieval-Augmented Generation (RAG), and platform architecture across multi-tenant SaaS and enterprise deployments.Owned the strategy, architecture, and execution of 100 connectors delivered in 6 months, covering roadmap, prioritization, business alignment, and multi-team leadership.Introduced GenAI-driven development workflow using Cursor.ai, including vibe coding, AI-assisted code review, defect prediction, and automated testing — transforming engineering productivity.Achieved 3× faster connector delivery (from 3 weeks → 1 week) by building the Connector Test Agent Framework for automated test-data creation, test-case generation, execution, and reporting.Led platform engineering for search relevance, vector DB integration, inference optimization, performance tuning, and multi-tenant scalability.Guided AI governance, observability, and evaluation frameworks for search and RAG pipelines.Managed senior technical leads; elevated engineering standards, reliability, and delivery governance across teams.Collaborated with Product, Cloud Ops, QA, and Security to align product strategy, improve release cadence, and ensure enterprise-grade stability.Engaged directly with enterprise customers on architecture, RAG/search strategy, connector adoption, and high-severity escalations.Owned KPIs across latency, accuracy, connector reliability, cost optimization, and development velocity.

Education

• Andhra University

  Masters in Computer Applications, Information Technology

  1997 — 2000

Skills

• Microservices
• Cassandra
• Requirements Gathering
• User Acceptance Testing
• Oracle Adf
• Leadership
• Oracle Db Pl/Sql
• Javascript
• Lambda Expressions
• Data Migration
• Oracle Database
• Eai
• Agile Project Management
• Oracle Jet
• Node.js
• Mysql
• Oracle Webcenter
• Design Thinking
• Hibernate
• Service-Oriented Architecture (Soa)
• Angularjs
• Neo4j
• Togaf
• Mongodb
• Quality Assurance
• Java Enterprise Edition
• Javascript Libraries
• Web Applications
• Amazon Web Services (Aws)
• Azure Luis
• Java
• Soa