Mayank G.

Need a production-ready AI system — RAG pipeline, LLM integration, or intelligent automation? I build full-stack AI applications with Python and Next.js that go live, not just demos. 6+ years, $50K+ earned on Upwork, Top Rated Plus. CORE STACK AI & Agent Orchestration: Python, LangChain, LangGraph, CrewAI, LlamaIndex, Advanced RAG, LLM Fine-Tuning Backend & Infrastructure: FastAPI, Node.js, PostgreSQL, MongoDB, AWS, Azure, Vector Databases (Pinecone, Qdrant, PGVector) Frontend & Interfaces: Next.js, React, TypeScript WHAT I SPECIALIZE IN BUILDING Autonomous Multi-Agent Systems - Multi-agent swarms using LangGraph and CrewAI that execute multi-step business logic, reason through dynamic tasks, perform tool callings, and automate complex workflows. Production RAG Architectures - High-precision enterprise knowledge retrieval over structured (SQL) and unstructured (PDFs, docs) data with context re-ranking and minimal hallucination. Custom AI Agents - Context-aware support agents, inbound/outbound voice AI systems, and automated communication engines (WhatsApp, Slack, custom interfaces). AI-First Backends & Pipelines -Scalable FastAPI microservices, asynchronous ETL pipelines, real-time web scraping, vector embeddings, and LLM evaluation frameworks. Full-Stack AI Products - Next.js and TypeScript interfaces designed specifically to expose backend AI intelligence through fluid, real-time user experiences. PROOFS Top Rated Plus on Upwork (top 3% of talent) 100% Job Success Score Zapier Certified Expert | Make, n8n, Airtable integrations Built an internal RAG chatbot at CION Investments — reduced document lookup time by ~60% Built a voice booking platform at Yoderlay — cut booking time by ~40% Delivered AI solutions across fintech, HR tech, hospitality, e-commerce, and recruitment Send me a message describing your project. I respond within a few hours and can usually share a technical approach or a relevant portfolio example the same day. EXPERTISE: Python | PyTorch | TensorFlow | LangChain | LangGraph | LlamaIndex | CrewAI | AutoGen | OpenAI API | Anthropic Claude | Hugging Face | Transformers | vLLM | Ollama | Llama | Qwen | Fine-Tuning | PEFT | LoRA | Prompt Engineering | Context Engineering | Advanced RAG | Hybrid Search | GraphRAG | Vector Databases | Pinecone | Qdrant | Weaviate | ChromaDB | PGVector | Semantic Search | Embeddings | Model Context Protocol (MCP) | Autonomous Agents | Multi-Agent Systems | Agentic Workflows | Tool Calling | Function Calling | LLM Evaluation | Guardrails | Ragas | TruLens | LangSmith | MLflow | FastAPI | Node.js | Next.js | TypeScript | Docker | Kubernetes | AWS SageMaker | Google Vertex AI | Azure AI | MLOps | Scikit-learn | Pandas | NumPy | Synthetic Data | Computer Vision | NLP | Speech AI | Whisper | Deep Learning | Neural Networks