Driving AI Innovation: Seetaram’s Leadership in Transforming Developer Productivity at JP Morgan Chase

Seetaram has been a transformative leader in AI and cloud solutions at JP Morgan Chase, where his exceptional technical leadership and innovative approach have driven major advancements in enterprise AI platforms. As the Senior Tech Lead for the LLM Suite project, Seetaram was responsible for delivering a groundbreaking AI platform that enhances developer productivity by automating complex tasks related to code writing, debugging, and optimization. This platform, featured across multiple outlets like CNBC, is a game-changer for over 200,000 developers within the organization, enabling them to work more efficiently and effectively.
Seetaram’s role in the project was multifaceted. He designed and developed end-to-end workflows using LangChain and LangGraph, which enabled scalable and powerful AI-driven solutions. These tools helped improve the platform’s capabilities in processing large-scale data sets and provided an intuitive interface that allowed developers to seamlessly interact with the platform. By leveraging these technologies, Seetaram ensured the platform was not only user-friendly but also high-performing, capable of handling millions of transactions with minimal latency.
The scalability of the LLM Suite platform was achieved through Seetaram’s expertise in cloud infrastructure. He utilized AWS services such as ECS, EKS, DynamoDB, S3, and SQS to build a highly available and fault-tolerant infrastructure that supported the platform’s growing needs. Seetaram was instrumental in designing and deploying microservices-based architectures that enhanced the platform’s maintainability, making it easier to scale and evolve as new requirements emerged.
One of Seetaram’s significant contributions was his automation of the infrastructure provisioning process, using Terraform and Kubernetes. This streamlined the deployment process, reduced human error, and enabled the team to focus on innovation rather than infrastructure management. Additionally, Seetaram implemented robust observability practices using Datadog and Splunk, ensuring real-time performance monitoring and data insights that allowed the team to proactively address issues and optimize platform performance.
Thanks to Seetaram’s leadership, the LLM Suite project not only achieved its technical goals but also contributed to the company’s larger mission of enhancing developer productivity and driving business transformation.