---
title: "C Vishnu Vardhan - AI Solution Trainee in Greater Bengaluru Area | Tal"
description: "Meet C Vishnu Vardhan, AI Solutions Engineer based in Greater Bengaluru Area. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/c-vishnu-vardhan/share-image"
---

# C Vishnu Vardhan on Tal

## Headline

AI Solutions Engineer

## About

I am a B\.Tech Computer Science \(AI &amp; ML\) graduate \(9\.4 CGPA\) passionate about bridging advanced AI research with scalable SaaS solutions\. My expertise lies in applying LLM\-powered automation within enterprise environments to streamline workflows, eliminate manual overhead, and optimize engineering pipelines\. In production SaaS environments, I engineer robust Python scripts to parse data, streamline API updates, and accelerate migration workflows\. I architected an AI\-driven self\-service enablement library, reducing repetitive customer\-facing queries by 30%\. Furthermore, I analyze system architectures to build technical specifications for REST APIs, ZTNA, and NAC deployments\. As a published researcher, my focus is multimodal Retrieval\-Augmented Generation \(RAG\) and knowledge\-graph\-aware systems\. I engineered MAHORAGA, an open\-source, domain\-agnostic hybrid RAG framework\. Fusing vector search, graph expansion, and exact\-match routing, it outperformed baselines like Vector RAG and GraphRAG\. It achieved 0\.64 Recall@5 and 78% modality coverage on a rigorous 60\-PDF benchmark, suppressing the hallucination rate to just 12%\. Beyond foundational RAG, I build agentic AI systems that solve real\-world bottlenecks\. I designed a multi\-agent LangGraph workflow that automatically reconciles engineering deltas from Azure DevOps and Confluence against baseline manuals\. Leveraging ChromaDB and Gemini semantic embeddings, this local framework generates context\-aware drafts and revision logs via Streamlit, entirely eliminating manual tracking\. I have also scaled user enablement through AI\-narrated product walkthroughs\. Core Technical Arsenal: Languages &amp; ML: Python, SQL, TensorFlow, PyTorch, scikit\-learn, OpenCV, and Matplotlib\. GenAI &amp; LLMs: RAG, LangChain, LangGraph, Prompt Engineering, Sentence\-BERT, Ollama, and the Gemini API\. Tools &amp; Databases: ChromaDB, Git, Streamlit, REST APIs, Azure DevOps, Confluence, Markdown, and Agile/Scrum\.

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

claude

cursor

gemini

openai

## Work experience

AI Solution Trainee at CloudZenia, Aug 2026 \- Present · 4 mos, Bengaluru, Karnataka, India

Engineer and Technical Writing at Ivanti, Aug 2025 \- Jul 2026 · 1 yr, Bengaluru, Karnataka, India, Automated documentation workflows with Python scripts for content processing, accelerating API reference updates and migration guides across 2 Ivanti Policy Secure \(IPS\) releases \(Q1 and Q2 2026\)\. Authored 20\+ feature documents, release notes, and administration guides covering REST API updates, Zero Trust Network Access \(ZTNA\) policies, and Network Access Control \(NAC\) deployment scenarios\. Built a self\-service onboarding video library with AI\-generated narration \(Guidde\), cutting repeat support queries and enabling 24/7 self\-serve training for customer\-facing teams\. Collaborated with product managers and engineers in Agile sprints to validate technical accuracy for 100% of assigned deliverables prior to publication\.

## Education

Bachelor of Technology \- BTech, Computer Science, Dayananda Sagar University

10th, The Oxford College of Education, Bengaluru

## Public links

- github: https://github\.com/cvishnuvardhan02

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

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