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Gopi Krishna Kothapalli

@gopikrishnakothapall

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Forward Deployed AI Engineer at JP Morgan Chase building production AI systems and faster data pipelines.

United States

Message

At JP Morgan Chase, I develop production backend services and REST APIs with Java and Spring Boot, contributing to a 20% reduction in latency across transactional workflows. I also integrated large language models and generative AI into production systems for advanced analytics and workflow automation.

Previously, at Congensys Corp, I built cloud-based backend services and automated infrastructure and CI/CD workflows. At Tata Consultancy Services, I developed backend services and deployment pipelines that improved inventory synchronization and release frequency.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

JP Morgan Chase

Oct 2025 - Present (1 year)

Developed production-grade backend services using Java and Spring Boot, reducing system latency by 20%. Implemented Kafka-based asynchronous processing and AI/ML solutions integrating LLMs and generative AI.

Java Spring Boot REST APIs Kafka SQL Python Machine Learning Generative AI AWS Cloud Technologies Monitoring Data Pipelines

Software Developer

Congensys Corp

Feb 2025 - Sep 2025 (7 months)

Built scalable Java Spring Boot backend services on AWS, reducing deployment times by 25%. Implemented Kafka, Docker, Terraform, and CI/CD automation to boost data pipeline efficiency and accelerate release cycles.

Java Spring Boot AWS Azure Kafka SQL Docker Terraform CI CD Junit Cloud Platforms APIs Data Pipelines

Assistant Systems Engineer

Tata Consultancy Services

Nov 2021 - Aug 2023 (1 year 9 months)

Developed backend services using Java, Spring Boot, and optimized SQL queries, improving inventory synchronization by 18%. Automated build and deployment pipelines with Git, Maven, and Jenkins, increasing release frequency by 30%.