---
title: "Atharva Khadse - AI Engineer in Bengaluru | Tal"
description: "Meet Atharva Khadse, AI Engineer@ Kyndryl India | IIIT Bangalore | Azure AI + Data Scientist Certified | GCP Certified | Agentic AI | Python · ML · Deep Learning · LLMs | based in Bengaluru. AI stack includes codex and cursor. Explore public work links including github."
image: "https://tal.club/meet/atharva-khadse/share-image"
---

# Atharva Khadse on Tal

## Headline

AI Engineer@ Kyndryl India \| IIIT Bangalore \| Azure AI \+ Data Scientist Certified \| GCP Certified \| Agentic AI \| Python · ML · Deep Learning · LLMs \|

## About

Staying relevant in today's ever\-evolving tech landscape is a journey, not a destination and mine has been defined by curiosity, reinvention, and a relentless drive to build things that matter\. I build production\-grade AI systems that turn complex, messy data into real\-world decisions\. As an AI Engineer at Kyndryl India, I've architected a multi\-agent system \(Gemini \+ Vertex AI\) that automated 10,000\+ monthly queries with a 60% reduction in manual resolution time, engineered a predictive maintenance platform that cut industrial downtime by 35%, and delivered an AI\-powered Contract Intelligence platform that reduced legal review cycles by 50%\. Parallel to this, I'm deepening my expertise through an Executive PG in Applied & Agentic AI at IIIT Bangalore\. My journey started hands\-on with softwares at Spark Minda, data pipelines processing 2M\+ daily records at Webcrypt Technology \(40% latency reduction\), and academic projects spanning MRI lesion segmentation, real\-time crack detection \(94% IoU\), and HR analytics dashboards\. I don't just study AI — I ship it\. Beyond the technical, I believe great engineers are also communicators, collaborators, and continuous learners\. My involvement with finance, AI\-ML, and cultural clubs at VIT taught me to think across disciplines, lead without authority, and bring people together around ideas\. Those instincts show up in how I work: I translate complex systems into clear decisions, and complex problems into elegant solutions\. 🔧 Core Stack: Agentic AI: LangChain, LangGraph, CrewAI, n8n, RAG, ML/DL: TensorFlow, Keras, Scikit\-learn, OpenCV, XGBoost Cloud: Azure \(AI Engineer \+ Data Scientist Certified\), GCP / Vertex AI, Docker, FastAPI Data: Python, SQL, Spark, Pandas, Power BI, Azure Data Factory Vector DBs: Qdrant, Elasticsearch, Neo4j, Redis 📜 Certifications: Azure AI Engineer Associate · Azure Data Scientist Associate · GCP Cloud Digital Leader · Google Data Analytics 🔗 github\.com/atharvaK718 Let's connect and build something extraordinary\.

## Location

Bengaluru

## AI stack

codex

cursor

## Work experience

AI Engineer at Kyndryl India, Jul 2025 \- Present · 1 yr 2 mos, Bengaluru, • Design and deploy end\-to\-end AI/ML solutions on Microsoft Azure, integrating Azure Machine Learning, Azure OpenAI Service, and Azure AI Search for enterprise\-grade applications\. • Build Agentic AI pipelines using LangChain and LangGraph, enabling autonomous multi\-step reasoning workflows for Kyndryl's service delivery operations\. • Develop and fine\-tune large language model \(LLM\) integrations with RAG \(Retrieval\-Augmented Generation\) architectures, improving response accuracy for internal knowledge bases\. • Collaborate with cross\-functional teams across infrastructure, data engineering, and cloud architecture to deliver AI\-driven insights for global clients\. • Achieved Microsoft Certified: Azure Data Scientist Associate and Azure AI Engineer Associate certifications during tenure, applied directly to production workloads\.

Data Science Intern at Webcrypt Technology, May 2024 \- Jul 2024 · 3 mos, Pune District, • Architected Azure Data Factory ETL pipelines to ingest, clean, and transform daily transaction records from 3 heterogeneous data sources — reducing pipeline processing latency and enabling near\-real\-time dashboard refresh for operational reporting\. • Designed Power BI dashboards tracking KPIs across sales, operations, and customer churn — directly supporting quarterly budget reallocation decisions and reducing manual reporting cycle from 3 days to 6 hours\.

Software Development Intern at Spark Minda, Sep 2023 \- Oct 2023 · 2 mos, Pune District, • Developed and tested automotive embedded software modules for Spark Minda's vehicle systems division, ensuring compliance with integration standards and functional safety guidelines\. • Performed unit and integration testing across software components, identifying and resolving 20\+ bugs before production release cycles\. • Gained hands\-on exposure to real\-time embedded systems, CAN bus communication protocols, and automotive ECU \(Electronic Control Unit\) architecture\.

## Education

Post Graduate, Applied AI and Agentic AI, International Institute of Information Technology Bangalore

Bachelor of Technology \- BTech, Computer Science and Engineering with Specialization in Data Science, Vellore Institute of Technology

## Public links

- github: https://github\.com/atharvaK718

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

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