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Pradeep Chandrasekaran

@pradeepchandrasekara

Message

I build multi-agent AI applications, RAG chatbots, and scalable backend services.

India

Message

I've built multi-agent AI applications at AVASOFT, developing agents, workflows, tool integrations, and backend services for an E-Learning Course Creation platform.

I developed five specialized agents with Strands and created an AI Extensions Marketplace for dynamically adding ElevenLabs and HeyGen capabilities as agent tools. I also built a Doc-to-Tool interface for connecting externally hosted functionality through API specifications, deployed on Amazon ECS and AWS Fargate.

My work spans Python, Golang, FastAPI, PostgreSQL, LangChain, LangGraph, RAG, AWS, Docker, and Kubernetes. I've also built an event-planning multi-agent system and a RAG-based customer-support chatbot using Ollama and Mistral.

Experience

Work history, roles, and key accomplishments

AI Engineer

AVASOFT

Jun 2026 - Aug 2026 (2 months)

Worked on a multi-agent-based E-Learning Course Creation platform, developing AI agents, workflows, tool integrations, and backend services. Developed solutions using Strands Agents, Python, FastAPI, PostgreSQL, AWS, and containerized deployment practices.

Strands Agents Python fastAPI PostgreSQL AWS Docker Kubernetes GitHub Azure DevOps Jira

AI Engineering Intern

AVASOFT

Dec 2025 - Jun 2026 (6 months)

Completed a 6-month internship focused on AI application and backend development using FastAPI, Golang, Python, PostgreSQL, and REST APIs. Built single-agent and multi-agent AI systems using LangChain, LangGraph, and Strands, gaining experience with RAG, tool calling, agent orchestration, AWS, and deployment workflows.