Saurabh M.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐆𝐞𝐧𝐀𝐈 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐜𝐮𝐬𝐭𝐨𝐦 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐜𝐮𝐭 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐬𝐭𝐬. If your LLM prototypes are suffering from hallucinations, high token latency, or poor data retrieval, 𝐈 𝐛𝐫𝐢𝐝𝐠𝐞 𝐭𝐡𝐞 𝐠𝐚𝐩 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐩𝐫𝐨𝐦𝐩𝐭 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐬𝐜𝐚𝐥𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞. I specialize in deploying secure, production-grade AI solutions using Python (FastAPI/Django), advanced LangChain/LangGraph workflows, and optimized vector search. 𝐖𝐡𝐞𝐭𝐡𝐞𝐫 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝𝐬 𝐨𝐟 𝐜𝐨𝐦𝐩𝐥𝐞𝐗 𝐏𝐃𝐅 𝐢𝐧𝐯𝐨𝐢𝐜𝐞𝐬 𝐯𝐢𝐚 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐈𝐃𝐏) 𝐨𝐫 𝐝𝐞𝐩𝐥𝐨𝐲 𝐦𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐈 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐜𝐨𝐝𝐞. I work mainly with Python, FastAPI, Django, OpenAI, Azure OpenAI, LangChain, RAG, AI Agents, OCR, NLP, and workflow automation. ➢ 𝐀𝐈 & 𝐋𝐋𝐌 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 OpenAI API | Azure OpenAI | GPT Models | Claude | LLM Applications | Prompt Engineering | AI Agents | AI Chatbots | RAG | NLP | AI Automation ➢ 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Python | FastAPI | Django | Flask | REST APIs | GraphQL | WebSockets | Background Jobs | Microservices | API Development ➢ 𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐞𝐚𝐫𝐜𝐡 RAG Pipelines | Embeddings | Semantic Search | Document Q&A | Knowledge Bases | Pinecone | FAISS | ChromaDB | Vector Search ➢ 𝐀𝐈 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 OCR | PDF Processing | Document Classification | Data Extraction | Invoice Processing | Text Extraction | Structured Data Extraction | Intelligent Document Processing ➢ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 PostgreSQL | MySQL | MongoDB | Redis | Database Design | API Integration | Data Processing ➢ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬 AWS | Azure | Docker | Git | CI/CD | Cloud Deployment | Production AI Systems 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ✓ AI Chatbots & AI Assistants ✓ AI Agents & Multi-Agent Workflows ✓ RAG-based Applications ✓ AI Document & Invoice Processing ✓ OCR & Data Extraction Systems ✓ AI Business Automation ✓ LLM-powered SaaS Applications ✓ Python REST APIs & Backend Systems ✓ AI Integrations & Workflow Automation ✓ NLP & Text Processing Solutions I focus on building practical, production-ready AI solutions using Python and modern AI technologies, from the initial architecture and API development to AI integration, automation, deployment, and scaling.