Hire the Best GPT Neo Specialists

Deployed multiple AI products. Sub-200ms voice agent latency. 5x LangGraph optimization for Multi-Agent AI systems. See everything at - devbhangale.vercel.app You get one engineer who handles the AI, the backend, and the frontend. No handoffs. No coordination overhead. Just a complete system that ships. 🤖 AI Chatbots and Customer Support Agents- You get a LangGraph and LangChain-powered conversational agent with memory, tool calling, fallback handling, and a working eval harness baked in. Your bot handles real traffic, routes edge cases, and gives you measurable accuracy before it goes live. Integrates with OpenAI API, Gemini API, and Claude API depending on your latency and cost targets. 🧠 Multi-Agent AI Workflows- You get complex autonomous pipelines built with LangGraph, AgentSDK and CrewAI for research automation, financial analysis, document processing, and multi-step business decision workflows. Includes human-in-the-loop checkpoints, state management, and structured output generation. 🎙️ Voice AI Agents- You get a real-time inbound and outbound voice pipeline with sub-200ms response latency built on LiveKit and Google Cloud Vertex AI. It handles calls, qualifies leads, books appointments, and updates your CRM without a human on the other end. Powered by Deepgram STT, ElevenLabs or Sarvam AI TTS, and OpenAI Realtime API. 📚 RAG Systems and Knowledge Bases- You get a production Retrieval-Augmented Generation pipeline built on Qdrant with chunking strategy, semantic embeddings, hybrid search, and retrieval accuracy benchmarking. Your documents, product catalog, or internal knowledge base becomes queryable and accurate. Your team stops digging through PDFs. 🌐 Full-Stack Web Applications- You get a Next.js 15 (React 19) and FastAPI and PostgreSQL application with clean architecture and a UI that does not look assembled from a template. From MVP to production-grade SaaS with role-based access, multi-tenant support, and WebSocket-powered real-time features. 📈 Algorithmic Trading Systems- You get end-to-end trading pipelines integrated with live exchange APIs covering strategy backtesting, live signal execution, real-time data ingestion, and performance analytics dashboards. Notable builds: → Astrophage: LangGraph Vedic astrology AI platform. Reduced agent response time from 30 seconds to 6 seconds through a 5-node pipeline redesign. Qdrant RAG, Gemini Live API voice, 12 bound tools, multilingual support. Live at astrophageai.vercel.app → AI Voice Agent Platform: Sub-200ms real-time voice pipeline using LiveKit and GCP Vertex AI with SFU region pinning for Indian market latency. Deepgram STT, Sarvam AI TTS, WebSocket audio streaming. → FinAI: Multi-agent chartered accountant assistant using CrewAI. Automates capital gains (FIFO), HRA calculation, ITR schema mapping, and tax regime comparison with structured report generation. → InwiseIt: Production SaaS invoice platform with Next.js 15, FastAPI, PostgreSQL, role-based access, and shadcn/ui component architecture. → AI Ticketing System: LLM-powered triage system with automatic classification, priority scoring, and CRM handoff for business clients. → Algorithmic Trading Pipelines: Live exchange API integration with real-time signal execution, backtesting engine, and performance analytics. ⚙️ Tech Expertise: AI Agents and Orchestration: LangGraph, LangChain, CrewAI, Pydantic AI, OpenAI API, Gemini API, Claude API, AutoGen, LlamaIndex Voice AI: LiveKit, Google Cloud Vertex AI, OpenAI Realtime API, ElevenLabs, Deepgram, Retell AI, Vapi, Whisper, Sarvam AI RAG and Vector Search: Qdrant, Pinecone, ChromaDB, FAISS, semantic embeddings, hybrid search, document ingestion pipelines, retrieval benchmarking Chatbot Development: multi-turn conversation, tool calling, memory systems, structured outputs, function calling, LLM eval harnesses, prompt engineering Full-Stack Web: Next.js 15, React 19, FastAPI, PostgreSQL, Tailwind CSS, shadcn/ui, TypeScript, WebSockets, REST APIs Algorithmic Trading: live exchange API integration, strategy backtesting, real-time data ingestion, signal execution pipelines Deployment and Infrastructure: Docker, Vercel, GCP, AWS, Railway, async pipelines LLM Evaluation and Observability: eval harnesses, accuracy benchmarking, prompt testing, production monitoring, LangSmith

Last project: a multi-agent system that handles end-to-end case evaluation for a legal client, replacing what used to be hours of manual review. That's the kind of problem I like — turning a messy, manual workflow into a reliable automated system. I'm a Senior AI Engineer (5+ years) specializing in RAG pipelines, multi-agent architectures, and production LLM systems — from whiteboard to AWS deployment. Recent work: Built a multi-agent legal AI system — a conversational intake agent that evaluates cases and recommends outcomes in real time Designed a RAG pipeline over a dense regulatory corpus, cutting document retrieval time by 60%+ Built an e-commerce shopping agent (Amazon/eBay) using LLM-based intent classification — replacing hardcoded category logic with a dynamic query mapper Shipped scalable AI APIs handling thousands of daily requests at sub-200ms latency What I bring beyond code: I scope projects like a product engineer first — defining what "done" actually means (POC vs. production-ready) before writing a line of code. That means clearer expectations, fewer pivots, and timelines that hold. Stack: Languages: Python, Node.js LLM frameworks: LangChain, LlamaIndex, OpenAI, Claude, HuggingFace, Ollama Vector DBs: Pinecone, Weaviate, ChromaDB, pgvector Agent frameworks: AutoGen, CrewAI, LangGraph Cloud & MLOps: AWS (SageMaker, Bedrock, Lambda, S3, EC2), Docker, FastAPI Databases: PostgreSQL, MongoDB, Redis Search: Elasticsearch, FAISS Bonus: I also work fluently across English, French, and Arabic — useful if your project involves multilingual content, MENA markets, or non-English document corpora. I work autonomously and communicate proactively — you'll know exactly where a project stands at every stage, with no surprises near a deadline. If you need an AI engineer who can own both technical architecture and product judgment — let's talk.

🚀 Ex-Meta / Yahoo | AI Full-Stack Engineer | GenAI, LLM, SaaS, APIs I build end-to-end AI products — from LLM-powered features to scalable full-stack systems. With 10+ years at Meta, Yahoo, and startups, I’ve shipped production systems used by millions and designed platforms that scale reliably. I focus on delivering real, usable AI applications — not just demos. ✅ What I Can Help You Build: • GenAI Applications: GPT / Claude integrations, AI copilots, workflows, prompt engineering • RAG Systems: chat over documents, knowledge bases, retrieval pipelines • Full-Stack AI Apps: frontend + backend + APIs + AI integration • AI Agents: tool-using agents, automation workflows • Backend Systems: scalable APIs, microservices, cloud architecture • AI SaaS: MVP → production-ready systems 💼 Experience Highlights: • Meta — built large-scale production systems • Yahoo — personalization systems serving billions of requests/day • Indeed / Workday — scalable backend and cloud platforms • Tech Lead — owned architecture and built systems end-to-end • Real-time systems processing TBs/day (Kafka, distributed systems) 📊 What You Get: • End-to-end builder (AI + full-stack + product) • Production-ready systems, not fragile prototypes • Scalable architecture from day one • Fast execution and clear communication 🔧 Tech Stack: AI: GPT-4/5, Claude, RAG, AI agents, prompt engineering Frontend: React, Next.js, TypeScript Backend: Python (FastAPI, Flask), Node.js, Java, Scala, APIs, microservices Cloud: AWS (S3, Lambda), serverless architecture Infra: Docker, Kubernetes, CI/CD Data: Spark, Kafka Databases: PostgreSQL, MySQL, MongoDB, Redis 🎯 Typical Projects: • AI chatbot / copilot • RAG over internal/company data • AI SaaS MVP • Full-stack GenAI applications • Workflow automation with LLMs Keywords: Generative AI, GenAI, LLM, GPT-4, GPT-5, Claude, OpenAI API, Anthropic Claude, RAG, Retrieval Augmented Generation, AI Agents, Prompt Engineering, AI Automation, Chatbots, Copilots, Python, FastAPI, Flask, Full-Stack Development, Frontend Development, Backend Development, React, Next.js, TypeScript, Node.js, API Design, REST APIs, GraphQL, Microservices Architecture, SaaS Development, Multi-Tenant Systems, Authentication, OAuth, JWT, Cloud Architecture, AWS, Serverless, Docker, Kubernetes, CI/CD, Distributed Systems, System Design, PostgreSQL, MySQL, MongoDB, Redis, Machine Learning, MLOps, Data Engineering, Apache Spark, Kafka Industries: AI Platforms, SaaS, Enterprise Software, AdTech, MarTech, E-commerce, Marketplaces, FinTech, Payments, Healthcare, HealthTech, Developer Tools, Productivity Tools, Analytics Platforms, Data Platforms, Media, Social Platforms

I build production-grade GenAI systems for Fortune 500 enterprises including Verizon and PNC, : AI agents, RAG platforms, semantic layers, knowledge graphs, text-to-SQL/NLQ systems, and full-stack AI applications. I have 9+ years of experience across machine learning, computer vision, NLP, backend engineering, and full-stack product development. Recently, I have led large engineering teams building enterprise AI platforms for telecom and banking use cases. What I can help you build: • AI agent systems using LangGraph, LangChain, MCP, A2A, FastAPI, and custom tool orchestration • RAG applications over documents, databases, knowledge bases, and enterprise data • Semantic layers and ontology-driven systems for analytics and GenAI use cases • Text-to-SQL / natural language database querying over Postgres, BigQuery, and Teradata • Knowledge graph RAG using Neo4j, vector databases, metadata extraction, and domain modeling • Full-stack AI SaaS products with Python, React, Next.js, Docker, Kubernetes, and cloud deployment • LLM fine-tuning, evaluation, prompt engineering, retrieval evaluation, and hallucination reduction Relevant achievements: • Led a 14-member team to build an asynchronous, extensible, A2A-compliant agentic framework for enterprise troubleshooting. • Reduced ticket resolution time in a production troubleshooting workflow from days to minutes. • Built and deployed hundreds of tools across multiple MCP servers. • Led a 12-member team to build a natural language query platform for enterprise databases. • Improved NLQ accuracy using domain modeling, metadata generation, and knowledge graph traversal. • Built an ontology-powered Knowledge Graph RAG platform over unstructured enterprise data. • Co-founded and scaled an AI video translation/dubbing product from $0 to $100k revenue in 6 months. • Built computer vision systems deployed across industrial locations in India and Europe. Tech stack: Python, FastAPI, LangChain, LangGraph, LlamaIndex, OpenAI, HuggingFace, PyTorch, PEFT/LoRA, React, Next.js, Postgres, BigQuery, Neo4j, Pinecone, Docker, Kubernetes, ArgoCD, GCP, AWS, PySpark, Airflow. I am best suited for clients who need more than a prototype. I can help you go from ambiguous AI idea → system design → implementation → deployment → evaluation → production hardening.

𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 | 𝐑𝐀𝐆 | 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 | 𝐌𝐂𝐏 | 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 | 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I help startups and enterprises build production-grade AI systems using the latest Agentic AI frameworks, LLMs, and automation platforms. With 8+ years of experience in AI, Machine Learning, Data Engineering, and Full-Stack Development, I specialize in designing intelligent AI agents, autonomous workflows, Retrieval-Augmented Generation (RAG) systems, and enterprise AI solutions that deliver measurable business outcomes. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ✓ Agentic AI Systems ✓ Multi-Agent Architectures ✓ LangGraph & LangChain ✓ Model Context Protocol (MCP) ✓ OpenAI, Claude, Gemini, Llama, Mistral ✓ RAG Pipelines & Knowledge Bases ✓ AI Copilots & Enterprise Assistants ✓ AI Voice Agents (VAPI, Retell AI, Bland AI) ✓ Workflow Automation (n8n, Make, Zapier, GHL) ✓ Vector Databases (Pinecone, Weaviate, Qdrant, Chroma) ✓ AI SaaS Development ✓ Python, FastAPI, Node.js, React ✓ Cloud Deployment (AWS, Azure, GCP) ✓ LLM Fine-Tuning & Evaluation ✓ Prompt Engineering & AI Guardrails 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗜 𝗕𝘂𝗶𝗹𝗱 • AI Customer Support Agents • AI SDR & Sales Automation Agents • Document Intelligence Systems • Enterprise Knowledge Assistants • Research & Analysis Agents • AI-Powered CRM Automation • Voice AI Call Agents • AI Recruiting Assistants • Multi-Agent Business Workflows • Autonomous Task Execution Systems 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸 Agentic AI, AI Agents, Multi-Agent Systems, LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, DSPy, RAG, MCP (Model Context Protocol), Prompt Engineering, LLM Fine-Tuning, OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral, Python, FastAPI, Django, Flask, Node.js, React, PostgreSQL, MongoDB, Pinecone, Qdrant, Weaviate, ChromaDB, n8n, Make, Zapier, GoHighLevel (GHL), AWS, Azure, GCP, Docker, Kubernetes, CI/CD, API Development, Enterprise AI Automation, AI SaaS Development, Vector Databases, Knowledge Graphs, AI Voice Agents, Workflow Automation, Cloud Architecture.

🏆 Expert-Vetted (Top 1%) 💰 $200K+ Earned on Upwork ⏱️ 16,700+ Hours 🚀 146+ Projects Completed I build AI agents, automation systems, and custom SaaS platforms that help businesses automate operations, customer support, sales workflows, and internal processes. With 146+ completed projects and 16,700+ hours on Upwork, I have delivered production-ready AI and full-stack solutions for startups, agencies, eCommerce brands, healthcare organizations, and growing businesses. I specialize in building AI agents, AI chatbots for business, workflow automation systems, OpenAI API integrations, Claude integrations, RAG systems, n8n automations, GoHighLevel automations, Python automation tools, FastAPI backends, custom APIs, and scalable SaaS MVPs using React, FastAPI, Node.js, AWS, and PostgreSQL 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 (𝗰𝗼𝗿𝗲 𝗳𝗼𝗰𝘂𝘀) I design and ship production-ready AI systems — not prototypes: • GPT/Claude-powered agents for sales, support, and internal operations • AI chatbots that work across documents, PDFs, and business logic • End-to-end automation pipelines using n8n, Make, APIs, and AI agents • RAG-based platforms with vector search (LangChain, Pinecone, etc.) • LLM integrations: OpenAI, Anthropic, embeddings, multi-agent workflows 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Backend: Python (FastAPI, Django), Node.js (Express, NestJS), REST/GraphQL APIs Frontend: React, Next.js, TypeScript, Tailwind CSS, Vue Infra: PostgreSQL, MongoDB, Redis, AWS, Docker, CI/CD, Azure, Google Cloud, VPS Infrastructure 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗮𝗰𝗸: clean, documented code; systems that are reliable in production, not just demos; clear communication; and a focus on the business outcome, not just the build. Looking for AI agents, workflow automation, custom SaaS development, or OpenAI integrations? Send me a message and let's discuss your project.