Arnav Katgeri

Software Engineer 1

JPMorganChase

01.2024 - Current

Contributed to the enhancement of JPMorgan Chase’s firmwide centralized release automation platform, supporting 200+ teams and their applications and microservices across multiple lines of business; improved existing workflows and automation features that helped reduce manual release cycle efforts from 700+ hours to under 20 hours per release cycle, driving significant gains in deployment velocity, consistency, and operational efficiency
Designed and implemented onboarding automation for an AI-powered sprint planning tool, leveraging RAG, LLMs, and enterprise AI infrastructure to streamline epic-to-story ingestion, configuration, and integration with JIRA, enabling faster and more consistent sprint planning.
Developed a chatbot UI integrated with JPMorgan Chase’s internal GPT-based LLM platform, enabling real-time, intelligent responses from structured knowledge bases; reduced internal support ticket resolution time by an estimated 25% for 200+ users in early adoption.
Collaborated in the design and deployment of an internal application maturity evaluation platform to enhance assessment of 100+ enterprise applications, focusing on critical engineering metrics to drive operational efficiency.
Designed and optimized automated session expiry redirection alongside bulk upload mechanisms for runtime and environment variables.
Assisted in cloud migration initiatives, supporting the transition of deployment pipelines from JPMorgan Chase’s internal infrastructure to a hybrid cloud architecture leveraging AWS, improving scalability and deployment flexibility
Optimized backend data retrieval processes using Spring Boot and JPA, reducing main page load times by 94% (from 2 minutes to 7 seconds) and improving system responsiveness and user experience
Improved application performance by analyzing existing code and optimizing algorithms.
Documented software specifications and technical processes for future reference and team alignment.
Participated in code reviews to ensure adherence to best practices and improve code quality.
Collaborated with cross-functional teams to gather requirements and implement effective software features.
Developed and tested software solutions using Java and Python to enhance system functionalities.