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Arghya User

@arghyauser

I build production AI and full-stack platforms at scale.

India
Message

At Scale AI, I build production multi-agent RAG systems with LangGraph, Pinecone, hybrid retrieval, reranking, and RAGAS evaluation. I reduced redundant LLM calls by roughly 30% and pipeline execution time by about 35% through bounded retries, confidence thresholds, tracing, and metrics.

I've architected high-scale fintech, SaaS, IoT, and business intelligence platforms at InvestMates, Intuit, 100xGain, Pramati Technologies, SIT Project, and Webfosys Networks. Across 11 years, I've led engineers and built event-driven microservices, real-time data systems, and full-stack products using React.js, Node.js, FastAPI, AWS, Kubernetes, Kafka, PostgreSQL, and Redis.

Experience

Work history, roles, and key accomplishments

SA
Current

Consultant

Scale AI

Jan 2023 - Present (3 years 8 months)

Built a production multi-agent RAG system on LangGraph with supervisor/router pattern, hybrid retrieval, reranking, and answer synthesis. Designed Node.js and Python/FastAPI microservices on AWS EKS with Kafka, and implemented MCP servers for standardized tool access.

Education

Degrees, certifications, and relevant coursework

WT

West Bengal University of Technology

Bachelor of Technology, Engineering

Pursued a Bachelor of Technology degree at West Bengal University of Technology.

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