Summary
Rajendra Kadam is a Senior Software Engineer with around a decade of experience building scalable backend systems, specializing in Neo4j graph databases, Python, and AI-driven retrieval applications. He has led graph data modeling, Cypher query optimization, and API development for enterprise search and knowledge retrieval platforms, most recently architecting data access control and governance for an enterprise RAG system. Rajendra combines hands-on performance tuning of Neo4j infrastructure with contributions to open-source projects like Pebblo and LangChain, reflecting a strong practical and community-facing focus. His background spans startups, contracting, and enterprise teams—including a Top-Rated Plus Upwork record with 100% client satisfaction—demonstrating reliability across engagements. Based in Chhatrapati Sambhajinagar, he brings both deep technical craft and a pragmatic understanding of secure, scalable data retrieval in production. An early career full-stack pedigree informs his ability to bridge backend systems, integrations (Drive/SharePoint/Confluence), and developer tooling for GenAI applications.
10 years of coding experience
7 years of employment as a software developer
High School Science, High School Science at Jawahar Navodaya Vidyalaya - JNV
Bachelor of Technology Computer Engineering, Bachelor of Technology Computer Engineering at COEP Technological University
Marathi, English, Hindi