Open to opportunities

Prashant Khandelwal

@prashantkhandelwal

Message

AI Engineer building production multi-agent systems with RAG, orchestration, and backend scalability.

India

Message

What I'm looking for

I’m looking for a role where I can build and scale AI Agent systems—multi-agent orchestration, RAG, and backend performance. I want to collaborate closely, ship production solutions, and keep improving latency, reliability, and real-world accuracy.

I build production-grade AI systems that turn complex workflows into reliable, autonomous experiences. My recent focus is multi-agent orchestration with LangGraph and LangChain—using agent handoff, create_react_agent patterns, and tool execution to deliver accurate autonomous behavior.

I also design the backend infrastructure that makes these systems fast and dependable. I’ve architected scalable distributed systems with Celery, Redis, and RabbitMQ, integrated RAG pipelines with an in-house ChromaDB vector database, and implemented caching strategies that reduced data processing latency by 40%.

Beyond orchestration, I’ve delivered end-to-end ML solutions for real-world use cases, including RAG for search and Flask APIs, plus sound detection using YAMNet with TensorFlow/PyTorch fine-tuning and full audio preprocessing pipelines. I enjoy system design, debugging, and performance optimization—translating models and data into outcomes teams can ship and scale.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Chat360

Jul 2025 - Present (11 months)

Designed and deployed production-grade multi-agent systems using LangGraph/LangChain, integrating RAG pipelines with an in-house ChromaDB vector database and HTTP tool integration for autonomous workflow automation. Architected scalable distributed backends with Celery, Redis, and RabbitMQ, reducing data processing latency by 40%.

LangGraph Lang Chain Multi Agent Systems Retrieval Augmented Generation (RAG)ChromaDB Celery Redis RabbitMQ Caching

Software Technical Apprentice

Cisco Systems Pvt. Ltd.

Nov 2022 - Nov 2023 (1 year)

Developed and implemented a data handling system integrating data from multiple APIs using Python, Java, Postgres, and GraphQL, and delivered results to a Power BI dashboard via Django. Implemented Docker to improve processing efficiency, reducing overall processing time by 20%.

Python Java Django Postgres GraphQL Power BI Docker API Integration

Data Science Intern

Sun Mobility Pvt. Ltd.

Jan 2022 - Jul 2022 (6 months)

Developed and maintained weekly and monthly monitoring dashboards using Python libraries and Power BI to improve data visualization and decision-making. Conducted data analysis to identify key trends and produce actionable recommendations supporting the startup’s e-mobility initiatives.

Python Power BI Dashboard Development Data Visualization Data Analysis Trend Analysis Reporting Collaboration