Skip to main content
VenuGopal VVV
Open to opportunities

VenuGopal V

@venugopalv

Senior AI engineer building enterprise agentic and generative AI systems that deliver measurable outcomes.

Zimbabwe
Message

What I'm looking for

I’m looking to lead enterprise Agentic/LLM initiatives—building LLM systems, RAG pipelines, and compliant production platforms—where I can blend strong C#/.NET engineering with measurable AI outcomes, stakeholder enablement, and real-world deployment.

I’m an AI and technology leader specializing in enterprise-scale Agentic AI and intelligent platform engineering, with 6+ years across Agentic AI, Generative AI, Deep Learning, Machine Learning, and Data Science.

I design LLM systems and RAG architectures using MCP frameworks, vector databases, and rigorous AI governance—especially for regulated industries. I also focus on building stakeholder confidence by delivering scalable, measurable results that reduce AI changeover anxiety.

On the software engineering side, I’ve spent 9+ years architecting and delivering enterprise-grade C#/.NET platforms and integrations across healthcare and CRM ecosystems (including large-scale work for TriZetto Facets and Talisma). I bridge robust engineering practices with cutting-edge AI to ship dependable, production-ready solutions.

Recently, I led multi-agent Agentic AI systems and end-to-end RAG pipelines that improved performance dramatically (e.g., reducing manual processing time by 68%, improving resolution time from 1–2 days to <6 hrs, and achieving 92–96% accuracy). I bring a hands-on, analytical mindset—leveraging statistical thinking and evaluation—while ensuring compliance and safety standards.

Experience

Work history, roles, and key accomplishments

CS
Current

Senior Product Specialist

Cognizant Technology Solutions

May 2010 - Present (16 years 1 month)

Designed and architected an enterprise multi-agent Agentic AI system (LangChain/LangGraph) to automate JA error correction, reducing manual processing time by 68% and improving resolution time from 1–2 days to under 6 hours with 92–96% data correction accuracy. Built end-to-end RAG pipelines (RAG/MCP) with HIPAA compliance and delivered additional AI/Deep Learning solutions for Facets batch failur

Education

Degrees, certifications, and relevant coursework

PT

PSNA College of Engineering & Technology

Bachelor of Engineering, Computer Science

Earned a Bachelor of Engineering in Computer Science from PSNA College of Engineering & Technology.

Find your dream job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan