---
title: "kalyan chowdary vadlamudi - Data scientist 1 in Greater Bengaluru Area | Tal"
description: "Meet kalyan chowdary vadlamudi, Data Scientist 1 @ TVS Motor Company | NITW23 based in Greater Bengaluru Area. AI stack includes gemini, hugging face, and kiro."
image: "https://tal.club/meet/kalyan-vadlamudi/share-image"
---

# kalyan chowdary vadlamudi on Tal

## Headline

Data Scientist 1 @ TVS Motor Company \| NITW23

## About

As a Data Scientist 1 at TVS Motor Company, I contribute to designing and deploying innovative AI solutions, including ServiceMate AI Chatbot using RAG architecture across global regions and a production\-scale WIP image validation endpoint leveraging Vision LLMs\. My work focuses on optimizing operational reliability, scalability, and response accuracy, while maintaining high standards of performance and quality\. With a Bachelor of Technology in Mechanical Engineering from NIT Warangal \(2023\), I bring expertise in search analysis, large language models, and process validation\. I am passionate about applying cutting\-edge AI technologies to deliver impactful solutions and streamline complex processes\.

## Location

Greater Bengaluru Area

## AI stack

gemini

hugging face

kiro

langchain

langgraph

mcp

## Work experience

Data scientist 1 at TVS Motor Company, Aug 2024 \- Present · 2 yrs 2 mos

Data Scientist at TVS Motor Company, Aug 2023 \- Jul 2024 · 1 yr, Bengaluru, Karnataka, India, Designed and deployed ServiceMate AI Chatbot using Agentic Retrieval\-Augmented Generation \(RAG\) architecture across 4 global regions, handling 1,000\+ daily service queries and improving first\-contact resolution and response accuracy\. Built a LLMOps monitoring and evaluation framework using MLflow, tracking relevance, groundedness, hallucination rate, and latency, maintaining 90% response quality in production\. Built a production\-scale WIP image validation endpoint on Azure Databricks using Vision LLMs to automatically detect service activity in workshop images and validate 5S process compliance\. Handled 75K\+ daily API requests with optimized latency, scalability, and high operational reliability\. Engineered a lead identification system with automated outreach \(WhatsApp\) using DoE optimization, driving 3,500\+ incremental monthly walk\-ins and 15% increase in conversions\. Developed Auto Job Card system using Large Language Models to convert technician voice inputs into structured service complaints, scaling to 3,000\+ API requests per day\. Implemented observability tracking for latency \(<5s\), Word Error Rate \(<10%\), and complaint sufficiency \(>85%\)\. Built an automated outbound calling agent workflow using n8n Cloud, scaling to 3,000–4,000 daily calls with retry logic and WhatsApp fallback mechanisms, significantly improving lead engagement and conversion efficiency\.

## Education

Bachelor of Technology, Mechanical Engineering, National Institute of Technology warangal

National Institute of Technology warangal

[View the original profile](https://tal.club/meet/kalyan-vadlamudi)

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