Mahendra S.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Jul 16, 2026.

Top Rated AI Engineer | AI Agents, RAG Systems, Python & Full-Stack SaaS I build production-grade AI systems using Python, FastAPI, OpenAI, LangChain, and modern LLM workflows, including AI agents, RAG pipelines, automation systems, and full-stack SaaS platforms. Over the past 8+ years, I’ve worked on AI products ranging from enterprise knowledge search and insurance automation to CRM-integrated workflows and multi-agent systems. Typical AI Systems I Build • AI agents with tool calling, memory handling, and workflow orchestration • RAG pipelines with semantic search, reranking, and vector databases • FastAPI backend architectures with async processing and scalable APIs • Full-stack AI SaaS platforms using React/Next.js + Python • AI workflow automation with integrations across CRMs, internal tools, and APIs Infrastructure & Stack Python, FastAPI, OpenAI, Claude, LangChain, CrewAI, LlamaIndex, PostgreSQL, pgvector, Pinecone, Weaviate, React, Next.js, Docker, AWS, GCP Recent Work • Insurance automation platform that reduced manual claims processing time significantly • Enterprise RAG system handling 10,000+ documents with sub-second retrieval • Multi-agent content workflow for marketing automation • CRM-connected AI systems integrated with HubSpot and Salesforce I care about architecture quality, maintainability, and building systems that can scale beyond MVP stage. If you already have a use case in mind, send me the details, I can usually tell pretty quickly what implementation path makes the most sense.