Arnav Saraswat
@arnavsaraswat
Generative AI engineer building production RAG and multi-agent systems for enterprise tools and scalable cloud backends.
What I'm looking for
I build production-grade AI systems at Capgemini Technology Services, starting with Python backend services for Generative AI internal tools and later supporting multinational clients.
I’ve architected agentic AI solutions—from single-agent to multi-agent workflows—using LangChain, LangGraph, OpenAI, Ollama, and CrewAI, with human-in-the-loop capabilities.
I design scalable RAG pipelines for knowledge access using OpenSearch (AWS Elasticsearch), Azure AI Search, and pgvector, and I’ve shipped serverless event-driven backends with AWS Lambda.
Before that, I worked on an image rendering system for Brainy Pi at IoTIoT.in, using libmmal and an object-oriented Python-friendly interface. I also mentor junior developers and received Capgemini’s “Rising Star” award.
Experience
Work history, roles, and key accomplishments
Developed and maintained backend services in Python for 6+ Generative AI internal tools. Architected multi-agent AI solutions using LangChain, LangGraph, and CrewAI.
Education
Degrees, certifications, and relevant coursework
Jaypee University of Information Technology
Bachelor of Technology, Information Technology
2019 - 2023
Grade: 8.4
Bachelor of Technology (with Honors) in Information Technology with a CGPA of 8.4.
Availability
Location
Authorized to work in
Job categories
Skills
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