Shouvik Choudhury

What I'm looking for

I am looking for a role focused on autonomous orchestration and multi-agent architectures rather than simple wrappers. I prioritize building self-healing systems that integrate tool-use, sophisticated state management, and Agentic RAG. My ideal position involves designing scalable LLM applications where reliability is ensured through rigorous evaluation frameworks and observability.

I am an Agentic Al Engineer and AWS Specialist with over

three years of experience building intelligent data pipelines and scalable LLM-driven applications. Currently serving as an AWS Engineer at Cognizant, I specialize in designing autonomous orchestration layers and self-healing systems that leverage RAG, tool-use, and multi-agent frameworks to optimize complex decision-making. My technical contributions include architecting scalable ingestion frameworks that improved processing throughput by 30%, building automated data refinement pipelines that reduced latency by 40%, and maintaining AWS workflows that accelerated delivery timelines by 25%. I am particularly adept at orchestrating multi-agent systems to bridge siloed data ecosystems and developing pipelines that utilize LLM-driven agents to detect and auto-correct quality issues without human intervention. With a deep toolkit spanning Python, LangChain, and AWS Cloud (S3, EC2, Glue), I am passionate about building the next generation of autonomous agents that bridge the gap between static data and active intelligence. This drive is further reflected in my project work, such as ShantiView, where I integrated Generative Al and multimodal inputs to provide personalized, Al-driven mental health support.