Neha L.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐆𝐞𝐧𝐀𝐈 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐜𝐮𝐬𝐭𝐨𝐦 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐬𝐭𝐬. If your LLM prototype is facing hallucinations, slow response times, high token costs, or poor data retrieval, I help turn AI concepts into secure, scalable, production-ready systems. 𝐀𝐈 / 𝐆𝐞𝐧𝐀𝐈 ➢ Generative AI | LLM Applications | AI Agents | Multi-Agent Systems ➢ RAG Pipelines | Agentic RAG | LangChain | LangGraph ➢ AI Chatbots | AI Voice Agents | AI Automation | AI Workflows ➢ Intelligent Document Processing (IDP) | OCR | Document AI ➢ AI-Powered Search | Semantic Search | Information Extraction ➢ OpenAI | Azure OpenAI | Claude | Gemini | LLM APIs 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ➢ Python | FastAPI | Django | Flask ➢ REST APIs | Microservices | Background Workers | Async Processing ➢ AI/ML Integrations | Data Processing | Automation 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐚𝐭𝐚 ➢ Vector Databases | Pinecone | Weaviate | ChromaDB | FAISS ➢ PostgreSQL | MySQL | MongoDB | Redis ➢ Embeddings | Vector Search | Hybrid Search | Reranking ➢ Prompt Engineering | Evaluation | Guardrails | Cost Optimization 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 ➢ AWS | GCP | Azure | Docker ➢ Scalable APIs | Cloud Deployment | CI/CD | Production Monitoring From processing 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝𝐬 𝐨𝐟 𝐜𝐨𝐦𝐩𝐥𝐞𝐗 𝐏𝐃𝐅 𝐢𝐧𝐯𝐨𝐢𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝐈𝐃𝐏 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐦𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐑𝐀𝐆 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, I focus on clean architecture, reliable retrieval, scalable APIs, and production-ready code. Have an AI idea or prototype that needs to become production-ready? Let's build it.