Yash Kabra profile photo 2 on Tal
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Yash Kabra profile photo 2 on Tal
Yash Kabra profile photo 1 on Tal

Yash Kabra

Engineering & AI @ Avis Budget Group

Bengaluru

3+ years of work experience

Avis Budget Group
Apr 20242 y 4 moPresent

Bengaluru, Karnataka, India

AI Enablement & Awards: Received corporate recognition for delivering AI-enabled automation and conducting organisational workshops to accelerate internal AI tool adoption. - Multi-Agent Automation: Engineered a LangGraph-based chargeback automation system using RAG document analysis, achieving 65% faster dispute resolution and a 30% higher win rate. - Enterprise AI Content Hub: Architected a multi-region Unified Knowledge Base using Claude on AWS Bedrock to supply semantic search and RAG contexts for Decagon AI support. - Foundational AI Infrastructure: Scaled a plug-and-play RAG infrastructure using LangChain and vector databases to power internal tooling like the FAQ MCP Tool. - Managed the full deployment lifecycle of revenue-critical microservices generating over $44M annually, while simultaneously driving organizational AI literacy by conducting workshops on the secure and effective adoption of AI tooling.
MountBlue Technologies
Jan 20243 mosMar 2024

Bengaluru, Karnataka, India

Immaculate IT Solutions Pvt. Ltd.
Apr 20236 mosSep 2023

Mumbai, Maharashtra, India

• Enhanced eCommerce platform using Spring Boot and React, increasing customer engagement by 25% in 6 months • Implemented features such as sorting, searching, wish-list , and hidden metadata for machine learning integration. • Designed and integrated the back-end logic for processing return requests, including validation checks and database operations • Wrote comprehensive test cases, including unit tests and integration tests
HIXAA
Dec 20223 mosFeb 2023

• Designed and implemented an automated system for instrument image capture with precise measurements and database storage, reducing manual effort. • Created a PyQT-based GUI for efficient data access, enhancing data retrieval. • Used Git for collaboration, organizing modifications, and task assignment within the team. • Improved data management, resulting in faster instrument information access, reduced errors, and more efficient decision-making.

Yash’s AI Stack

hugging face
hugging face
kiro
kiro
langgraph
langgraph
mcp
mcp
Pinecone
Pinecone
Weights & Biases Weave
Weights & Biases Weave

Education

Shri ramdeobaba college of engineering and management

Bachelor of Engineering - BE, Electronics Engineering

Shri ramdeobaba college of engineering and management

20194 yrs2023

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Headline

Engineering & AI @ Avis Budget Group

About

AI Engineer specializing in transforming traditional enterprise workflows into intelligent, AI-first solutions. Backed by a proven track record of managing high-traffic, revenue-critical distributed systems, I focus on moving AI beyond prototypes to build reliable, production-grade autonomous infrastructure. Currently leading AI Engineering initiatives at Avis Budget Group, where I drive our transition toward an AI-first architecture. My focus is re-architecting complex, high-stakes operational flows—like chargeback dispute resolutions and enterprise content management—into multi-agent, LLM-powered systems built to perform at scale. 🚀 What I Build & Do: 🤖 AI-First Transformations: Architecting enterprise RAG systems and orchestrating multi-agent workflows (LangChain, LangGraph, Strands) to automate core business pipelines. 🧠 LLM Infrastructure: Building Unified Knowledge Bases and deploying semantic search agents using Claude and AWS Bedrock to modernize enterprise content hubs. ⚡ Production AI & Scale: Managing the full deployment lifecycle of revenue-critical, customer-facing microservices generating over $44M annually, ensuring the high availability, security, and performance required to run intelligent systems at scale. 💡 AI Enablement: Conducting organizational workshops to upskill engineering teams and champion the secure, effective adoption of modern AI tooling. 🛠️ Core Stack: Python, TypeScript, Java | LangChain, LangGraph, n8n | Vector Databases, RAG, Multi-Agent Systems | AWS Bedrock, Claude, Vercel AI SDK | EKS, Kubernetes, OpenTelemetry

Location

Bengaluru

AI stack

hugging face

kiro

langgraph

mcp

Pinecone

Weights & Biases Weave

Work experience

AI Engineer at Avis Budget Group, Apr 2024 - Present · 2 y 4 mo, Bengaluru, Karnataka, India, AI Enablement & Awards: Received corporate recognition for delivering AI-enabled automation and conducting organisational workshops to accelerate internal AI tool adoption. - Multi-Agent Automation: Engineered a LangGraph-based chargeback automation system using RAG document analysis, achieving 65% faster dispute resolution and a 30% higher win rate. - Enterprise AI Content Hub: Architected a multi-region Unified Knowledge Base using Claude on AWS Bedrock to supply semantic search and RAG contexts for Decagon AI support. - Foundational AI Infrastructure: Scaled a plug-and-play RAG infrastructure using LangChain and vector databases to power internal tooling like the FAQ MCP Tool. - Managed the full deployment lifecycle of revenue-critical microservices generating over $44M annually, while simultaneously driving organizational AI literacy by conducting workshops on the secure and effective adoption of AI tooling.

SDE Apprenticeship at MountBlue Technologies, Jan 2024 - Mar 2024 · 3 mos, Bengaluru, Karnataka, India

Software Engineer Intern at Immaculate IT Solutions Pvt. Ltd., Apr 2023 - Sep 2023 · 6 mos, Mumbai, Maharashtra, India, • Enhanced eCommerce platform using Spring Boot and React, increasing customer engagement by 25% in 6 months • Implemented features such as sorting, searching, wish-list , and hidden metadata for machine learning integration. • Designed and integrated the back-end logic for processing return requests, including validation checks and database operations • Wrote comprehensive test cases, including unit tests and integration tests

AI Intern at HIXAA, Dec 2022 - Feb 2023 · 3 mos, • Designed and implemented an automated system for instrument image capture with precise measurements and database storage, reducing manual effort. • Created a PyQT-based GUI for efficient data access, enhancing data retrieval. • Used Git for collaboration, organizing modifications, and task assignment within the team. • Improved data management, resulting in faster instrument information access, reduced errors, and more efficient decision-making.

Education

Bachelor of Engineering - BE, Electronics Engineering, Shri ramdeobaba college of engineering and management

Public links

github: https://github.com/yash11K

linkedin.com: https://www.linkedin.com/in/yaxhkabra