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Arpit GargAG
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Arpit Garg

@arpitgarg2

Staff Software Engineer at Visa building a GenAI incident analysis platform that cuts root-cause analysis from hours to seconds.

United States
Message

At Visa, I architected and led development of a production GenAI incident analysis platform using multi-agent LangGraph orchestration, reducing root-cause analysis time from hours to seconds. I also designed a service-specific MCP orchestration framework for coordinating agents and tools across distributed services.

Previously at Visa, I scaled a real-time anomaly detection platform from 180 to 2,000+ merchants while limiting infrastructure growth to 2.8x. I also built GenAI migration tooling for converting 10,000+ Splunk artifacts to ClickHouse and directed a redesign of the anomaly detection pipeline for active-active, multi-data-center operation.

Experience

Work history, roles, and key accomplishments

Visa Inc. logoVI
Current

Staff Software Engineer

Feb 2026 - Present (8 months)

Architected and led development of a production GenAI incident analysis platform using multi-agent LLM LangGraph orchestration, reducing root-cause analysis time from hours to seconds. Led technical discussions with stakeholders and clients to define requirements and drive full-stack architecture decisions for distributed and AI-driven applications.

Visa Inc. logoVI

Sr. Software Engineer

Jan 2023 - Jan 2026 (3 years)

Led architectural scaling of real-time anomaly detection platform from 180 to 2,000+ merchants, increasing processing volume to 36,000+ anomaly signals while limiting infrastructure growth. Built GenAI-powered migration tooling to automate 10,000+ artifacts for Splunk to ClickHouse query conversion using prompt engineering.

Temenos AG logoTA

Software Engineer

Jun 2018 - Aug 2021 (3 years 2 months)

Executed distributed backend microservices for enterprise financial platforms, contributing to scalable API design, testing, and improvements in collaboration with cross-functional teams. Performed debugging and problem-solving for production issues across distributed microservices, improving system stability and reducing incident resolution time.

Education

Degrees, certifications, and relevant coursework

CU

Carnegie Mellon University

Master of Information Systems Management, Information Systems Management

2021 - 2022

Master of Information Systems Management degree from Carnegie Mellon University from 2021 to 2022.

MU

Manipal University

Bachelor of Technology, Computers and Communication Engineering

2014 - 2018

Bachelor of Technology in Computers and Communication Engineering from Manipal University from 2014 to 2018.

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