Ravinder S.

Need an existing Python backend fixed, extended, or connected to AI? I build and maintain production backend systems using Python, FastAPI, Django, PostgreSQL, Docker, and AWS, and I integrate practical AI features such as RAG, LLM workflows, AI agents, semantic search, and automation. I have 7+ years of software engineering experience, including 3+ years working with AI/LLM systems, and 1,500+ hours of previous Upwork work history with clients across the US, UK, and UAE. **I can help with:** • Python, FastAPI, and Django backend development • REST API development and third-party integrations • Debugging, extending, and improving existing codebases • PostgreSQL and MongoDB applications • RAG pipelines, embeddings, and semantic search • OpenAI, Claude, and LLM integrations • AI agents and business workflow automation • Async processing and background workers • Docker, AWS, and CI/CD deployments • Reviewing and improving AI-generated Python code **Examples of systems I’ve worked on:** **AI Review Intelligence Platform** — Built a Python/FastAPI data pipeline that collected restaurant reviews, processed and deduplicated new records, stored them in PostgreSQL, generated embeddings, and supported vector search and RAG-based Q&A. The processing workflow used staged states so previously processed data was not repeatedly sent through expensive AI operations. **AI-Powered Logistics Platform** — Built backend workflows for shipment creation, carrier matching, bidding, notifications, and operational processes, along with an AI advisor that used business knowledge through RAG and an ML-based price recommendation service. **AI Voice & Workflow Automation** — Worked with VAPI and Retell AI for voice-agent workflows, including outbound calling and lead-engagement automation integrated with backend systems. My main focus is not building demo chatbots. I work on connecting AI to real applications, APIs, databases, business rules, and production workflows. I’m also comfortable joining an existing project rather than starting from scratch — understanding unfamiliar code, debugging production issues, improving architecture, and delivering changes without unnecessarily rewriting the system. **Core stack:** Python, FastAPI, Django/DRF, PostgreSQL, MongoDB, AWS, Docker, OpenAI/Claude, RAG, LangChain/LangGraph, vector search, Redis, REST APIs, async processing, background jobs, and CI/CD. If you need help with a Python/FastAPI backend, an existing application that needs debugging or extension, or an AI/RAG feature that needs to work reliably inside a real product, I can help.