Apoorv P.

I build end to end production ready AI agents, RAG systems, LLM applications, and business automation solutions that reduce manual work and improve operational efficiency. I specialize in taking AI systems from architecture and prototyping to reliable production deployment including agentic workflows, advanced RAG, document intelligence, NLP pipelines, structured extraction, and self-hosted LLM inference. CORE EXPERTISE LLM & Agentic AI • LangGraph, LangChain, CrewAI, AutoGen • Multi-agent orchestration and tool-use systems • Prompt engineering, evaluation, and structured outputs • OpenAI, Anthropic Claude, Azure OpenAI • Self-hosted LLMs with vLLM and GPU inference RAG & Retrieval • Advanced RAG architectures • Hybrid retrieval: vector + BM25 + reranking • Multilingual semantic search • Vector databases and embedding pipelines • Citation, evidence, and hallucination-control systems Intelligent Document Processing AI & NLP • PDF/DOCX processing and OCR • Structured information extraction • Classification and NLP pipelines • JSON/Schema-based LLM extraction • Large-scale document ingestion and processing Backend & Production • Python, FastAPI, Flask, Celery • PostgreSQL, Redis, SQLAlchemy • Docker, Docker Compose, CI/CD • Azure, AWS, Linux, Nginx • REST APIs, authentication, RBAC WHY CLIENTS HIRE ME • 100% Job Success Score and Top Rated on Upwork • IBM-certified in Agentic AI, Advanced RAG, Vector Databases, and Generative AI • Production first approach: testing, observability, failure handling, and scalable architecture • Comfortable owning the full lifecycle from system design to deployment and handover • Clear communication, fast response times, and reliable delivery If you need someone who can go beyond connecting an LLM API and actually engineer a reliable AI system around it, let's discuss your project.