Hire the Best LangChain Developers

Senior AI Engineer with $400K+ earned on Upwork, 26,000+ hours, and 110+ successful projects building production software for startups and enterprises. I specialize in building AI Agents, Voice AI systems, MCP servers, RAG applications, and workflow automations that integrate with CRMs, APIs, and business platforms. I've built solutions including AI Sales & Customer Support Agents, Voice AI Receptionists, AI Research Assistants, RAG-powered knowledge bases, MCP servers, and intelligent workflow automations using OpenAI, Claude, LangGraph, n8n, and modern cloud infrastructure. From architecture and development to deployment, I build scalable AI solutions that help businesses automate operations, reduce costs, and launch AI products faster. 🚀 What I Do Whether you're launching an AI startup or adding AI to an existing product, I design and deliver production-ready AI solutions—from AI agents and Voice AI to RAG applications, workflow automation, and AI-powered web & mobile applications. 🤖 AI Agents & Automation ✅ AI Sales, Customer Support & Research Agents ✅ Multi-Agent Systems (LangGraph, LangChain, CrewAI, AutoGen) ✅ AI Assistants & Human-in-the-Loop Workflows 🎙 Voice AI ✅ AI Receptionists & Call Agents ✅ Inbound & Outbound Voice Automation ✅ CRM Integration, Transcription & Analytics Platforms: Vapi, Retell AI, ElevenLabs, Deepgram, Twilio 🔥 MCP, RAG & LLM Solutions ✅ Custom MCP Servers ✅ OpenAI, Claude & Gemini Integrations ✅ RAG Applications & Vector Databases ✅ Tool Calling & Enterprise AI Solutions 🔄 Workflow Automation ✅ n8n, Make, Zapier & Power Automate ✅ API Integrations & ETL Pipelines ✅ CRM, ERP & Business Process Automation 🔗 CRM & ERP Integration ✅ Salesforce, HubSpot, GoHighLevel, Zoho, Monday ✅ NetSuite, SAP, QuickBooks, Stripe & Custom APIs 💻 Full-Stack Development ✅ AI-Powered Web Applications (React, Next.js, Python, Node.js) ✅ Mobile Apps (React Native, Flutter) ✅ FastAPI, Django, PostgreSQL, MongoDB & Redis 💡 Why Work With Me ✔ Expert-Vetted (Top 1%) AI Engineer ✔ $400K+ Earned • 100% Job Success ✔ End-to-End AI, Web & Mobile Development ✔ Production-Ready, Scalable Solutions ✔ Clear Communication & Reliable Delivery Let's build something amazing together.

I design and build reliable AI, LLM, RAG, NLP, machine learning, deep learning, and automation systems where retrieval quality, execution logic, and workflow stability matter. What I Build: ✅ RAG Systems: hybrid semantic + BM25 retrieval, reranking, vector databases, evaluation pipelines ✅ LLM Agents: LangChain, LangGraph, LlamaIndex, multi-step AI agents, tool calling ✅ NLP Pipelines: text classification, summarization, sentiment analysis, embeddings, POS tagging ✅ Language Models: RNN, LSTM, Transformers, BLEU/ROUGE evaluation ✅ ML/DL Systems: classification, regression, clustering, forecasting, CNNs, GANs, XGBoost ✅ Computer Vision: image processing, feature extraction, object detection, YOLO, transfer learning ✅ Robotics & Autonomous Systems: ROS, robot perception, localization, navigation, sensor fusion ✅ Graph AI: Graph Neural Networks, knowledge graphs, graph embeddings, graphical models ✅ Probabilistic AI: Bayesian networks, stochastic systems, Markov models, variational inference ✅ HCI/BCI & Signal Processing: EEG preprocessing, FFT, filtering, feature extraction, ML classification ✅ AI Automation: n8n, Make, OpenAI, Claude, Grok, Ollama, API integrations ✅ AI Lead Generation: scraping, enrichment, data cleaning, LLM-powered research automation ✅ Research & Prototyping: LaTeX, Overleaf, literature review, academic writing, journal research Core Skills: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, Generative AI, RAG, Vector Search, AI Agents, Prompt Engineering, Retrieval Evaluation, Data Preprocessing, Feature Engineering, Model Training, Hyperparameter Tuning, Transfer Learning, Reinforcement Learning, Explainable AI, Computer Vision, Robotics, ROS, Graph Neural Networks, Knowledge Graphs, Probabilistic Models, Stochastic Systems, Applied Linear Algebra, Optimization, Signal Processing, EEG Analysis, Human-Computer Interaction, Research Methodology. Tools: Python PyTorch TensorFlow Keras, Scikit-learn HuggingFace LangChain LangGraph LlamaIndex FAISS Pinecone ChromaDB, FastAPI OpenAI API Claude API Ollama Grok Jupyter Colab Anaconda PyCharm MATLAB ROS Overleaf LaTeX. I focus on practical AI systems that are testable, maintainable, and reliable after delivery. I clarify requirements early, check data quality, define evaluation criteria, and build workflows with validation, visibility, and error handling. If you need an AI prototype, RAG chatbot, NLP model, ML pipeline, research implementation, or automation workflow, send me your use case, and I’ll suggest a clear approach.

Most “AI agent developers” build a chatbot wrapped around an API call. I build stateful, production-grade multi-agent systems that plan tasks, call tools, write and execute code in sandboxed environments, recover from failures, and remain fully traceable through LangSmith. Not prototypes. Not demos. I build systems that support real concurrent users, run unattended in production, and provide the traces needed to understand exactly what happened. That is the gap I fill: The space between “I got GPT to answer questions” and “this AI system runs reliably in production.” WHAT I’VE SHIPPED — PRODUCTION, NOT DEMOS - Multi-agent HR automation using LangGraph, GPT-4o, and Azure. Reduced recruiter processing time by 70% while supporting 1,500 concurrent users. - Enterprise RAG assistant using Gemini, hybrid retrieval, GCP, and Kubernetes. Reduced query resolution time by 60% and supported up to 1,800 concurrent users. - AI coding agent with sandboxed execution. Built a LangGraph agent that plans, writes, runs, tests, and self-corrects code inside isolated Docker/E2B-style environments. - Legal RAG pipeline for a 500+ document corpus. Custom chunking and LangChain evaluations improved retrieval accuracy by 40% compared with baseline vector search. - Agentic travel platform built with LangGraph Cloud, GCP, and LangSmith. Automated the complete workflow with no manual intervention. - Visual AI agent builder similar to Gumloop, with configurable workflows, tool integrations, and production LangSmith tracing. - AI email automation platform built with FastAPI, NLP classification, and RAG. Eliminated 80% of manual support-ticket triage. Read this section first. Everything below provides technical context. The systems above are the proof. WHAT I BUILD AI Agents & LLM Orchestration - LangGraph multi-agent systems - Stateful planning and execution loops - Conditional branching and parallel sub-agents - Tool calling with retries and error recovery - GPT-4o, Claude, Gemini, and open-source model routing - Human-in-the-loop approval workflows - Long-running and asynchronous agent tasks - LoRA and QLoRA fine-tuning Coding Agents & Sandboxed Execution I build coding agents that do more than generate code. They write, execute, test, inspect errors, and revise their solution using real execution feedback. - Code generation and execution - stdout, logs, stack-trace, and test-result analysis - Automatic error recovery and self-correction - Docker and E2B-style sandbox environments - Timeouts, resource limits, network isolation, and controlled tool access Enterprise RAG - Hybrid vector and keyword retrieval - Neo4j knowledge graphs for multi-hop queries - Pinecone, FAISS, Weaviate, and PostgreSQL vector search - Custom document chunking and parsing - Cross-encoder reranking - LangChain evaluation pipelines - Measurable accuracy and relevance improvements Python Backend Development - Async Python and FastAPI - REST APIs, WebSockets, and SSE streaming - PostgreSQL, MongoDB, Redis, and Supabase - HubSpot, Salesforce, Stripe, and custom API integrations - Dockerized microservices - Kubernetes-ready architecture - Background workers and GitHub Actions CI/CD Observability, MLOps & Cloud Deployment - LangSmith tracing, evaluations, and debugging - Token, latency, and cost monitoring - GCP, Cloud Run, GKE, Vertex AI, and LangGraph Cloud - Azure AI, AKS, and Azure Functions - Model deployment and versioning - Production testing and reliability monitoring CORE STACK / KEYWORDS AI Agent Development, LLM Engineering, Generative AI, Agentic AI, Multi-Agent Systems, LangGraph, LangChain, LlamaIndex, LangSmith, OpenAI GPT-4o, Claude, Gemini, RAG, Enterprise RAG, Pinecone, FAISS, Weaviate, Neo4j, Docker, E2B, Python, FastAPI, PostgreSQL, MongoDB, Redis, GCP, Azure, Cloud Run, Kubernetes, GitHub Actions, MLOps, React, and TypeScript. WHAT YOU GET Every delivery includes production-ready architecture, documentation, automated tests, secure tool and sandbox execution, deployment support, LangSmith observability, failure recovery, and post-launch support. I don’t just hand over code. I hand over AI systems that run, recover, scale, and can be debugged when something goes wrong. NOT THE RIGHT FIT FOR ManyChat flows, Zapier replacements, Make automations, simple chatbot integrations, basic API connections, no-code AI tools, or quick proof-of-concept scripts. My engagements are Python-first, architecture-focused, and built for production. LET’S TALK Message me with your project scope. I’ll tell you clearly whether I can solve it, what architecture I recommend, and how I would approach the build.

𝗪𝗵𝘆 𝗵𝗶𝗿𝗲 𝗺𝗼𝗿𝗲 𝘄𝗵𝗲𝗻 𝗔𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗶𝘁 𝗯𝗲𝘁𝘁𝗲𝗿? I work with businesses to eliminate inefficiencies through AI-driven automation, cutting costs, increasing productivity, and transforming raw data into actionable insights. 𝐇𝐨𝐰 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭 𝐰𝐢𝐭𝐡 𝐀𝐈: ➤ AI Agents & Automation Design and deploy intelligent agents that streamline complex workflows, across support, compliance, finance, operations, HR, and supply chains, using LangChain, LangGraph, and tools like n8n. ➤ Multi-Agent Systems & Agentic AI Engineer cooperative AI environments capable of autonomous task execution and decision-making for large-scale business operations. ➤ RAG & Smart Knowledge Retrieval Build solutions using Retrieval-Augmented Generation (RAG) that enhance LLMs with contextual, real-time enterprise data for more accurate insights. ➤ Generative AI for Growth Develop AI tools for content generation, automated market research, and conversational bots that increase engagement and open new revenue channels. ➤ Enterprise-Ready Integrations Seamlessly connect OpenAI (GPT-4o, GPT-4, GPT-3.5), Claude, Gemini, Llama 3, and custom models into your workflows for real-world value. I specialize in full-stack AI app development and enterprise system integration. ➤ Production-Grade AI Deployment Deliver scalable, secure AI platforms using Python, FastAPI, Django, Docker, and Kubernetes—deployed on AWS, Azure, or GCP, supported by modern CI/CD practices. ✅ Why Clients Trust My Work: - Enterprise-Level Experience: I build beyond proof-of-concepts, delivering scalable, outcome-oriented AI systems. - Advanced Specialization: Deep expertise in Prompt Engineering, LLM Tuning, RAG, and AI infrastructure design. - Transparent, Impact-Driven Approach: I focus on measurable business outcomes, not just building shiny tech. - Connected to the Pulse of AI: I actively contribute to AI communities and collaborate with LangChain’s core team to stay ahead of innovation. 📂 Recent AI Projects: - Marketing: Automated campaign planning via AI-powered research and content generation. - Crypto: Developed an AI trading co-pilot to assist with smart, real-time decisions. - IT & Networking: Built autonomous agents to troubleshoot and resolve network issues proactively. - Healthcare: Created a medical AI assistant that converts patient conversations into structured EMR notes. - Construction: Engineered a system that extracts data from complex architectural and permit PDFs.

𝗪𝗮𝗻𝘁 𝘁𝗼 𝘁𝘂𝗿𝗻 𝘆𝗼𝘂𝗿 𝗶𝗱𝗲𝗮 𝗶𝗻𝘁𝗼 𝗮𝗻 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀? I help founders, startups, and tech teams build full-stack apps enhanced by real-world AI like GPT-based chatbots, document Q&A tools, resume screeners, and RAG pipelines. As an AI/ML Engineer and Full Stack Developer having over 7 years of experience, I blend cutting-edge AI (LLMs, LangChain, Autogen) with robust web development (MERN, Next.js, Node.js) to ship scalable, intelligent software fast. 🧠 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: - LLMs (GPT-4, Claude, Gemini), OpenAI & LangChain Integration - Retrieval-Augmented Generation (RAG) Systems - Custom Chatbots, SQL Agents, Resume Rankers - LangGraph & Autogen Workflow Agents - Vector Search (FAISS, Pinecone, ChromeDB) 💻 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Frontend: React.js | Next.js | Nuxt.js | Tailwind Backend: Node.js | NestJS | Express | Flask | FastAPI | Python Databases: PostgreSQL | MongoDB | Supabase | Firebase APIs & DevOps: REST APIs | Docker | Vercel | AWS 𝐀𝐈 & 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐈 𝐁𝐮𝐢𝐥𝐝: ✔️ AI-powered SaaS platforms and MVPs to launch startups or automate workflows ✔️ ChatGPT-style chatbots and virtual assistants for support, HR, or data lookup ✔️ Document search and RAG systems for retrieving and summarizing knowledge ✔️ LLM-integrated dashboards and bots for real estate, finance, and analytics ✔️ Resume screening tools that rank candidates using OpenAI models ✔️ Full stack web apps with built-in AI features from frontend to backend 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭: ✔️ Practical, business-focused AI & ML solutions ✔️ End-to-end development: LLMs, APIs, backend & cloud ✔️ Fast, reliable delivery with clean, production-ready code ✔️ US, UK & UAE time zones coverage ✔️ Clear, jargon-free communication with proactive updates 🚀 𝐆𝐨𝐭 𝐚𝐧 𝐀𝐈 𝐢𝐝𝐞𝐚 𝐨𝐫 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐲𝐨𝐮'𝐫𝐞 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐭𝐚𝐜𝐤𝐥𝐞? Let’s turn it into a powerful, real-world solution customized to your business. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲, 𝐈’𝐦 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐡𝐚𝐩𝐩𝐞𝐧!

Most AI freelancers hand you a script you cannot ship. Most web developers cannot build the agent in the first place. The gap between those two is where your budget disappears. I build AI agents and the web and mobile apps they live inside - one accountable partner for the model, the API, the interface and the hosting. Production AI delivered for Microsoft. Top Rated on Upwork with 100% Job Success and 5.0 stars on every contract closed. I lead a 25-engineer team, so every build ships with architecture review, QA and DevOps behind it. 1. AI AGENTS AND AUTONOMOUS WORKFLOWS - Multi-agent systems on LangGraph, LangChain and CrewAI: state machines, tool calling, retries and human-in-the-loop approval gates - Per-run token and cost caps, so your LLM bill never surprises you - Agents wired into the tools you already run: HubSpot, Salesforce, Slack, Notion, Gmail, Stripe and internal APIs - Every agent decision logged and traceable from day one 2. VOICE AI AGENTS - Real-time inbound and outbound voice on Twilio, LiveKit and the OpenAI Realtime API - Sub-second response latency with barge-in handling, so the agent never talks over your customer - Deepgram and Whisper transcription, ElevenLabs voice synthesis - Warm transfer to a human, automatic call disposition and full transcripts pushed to your CRM 3. RAG AND LLM SYSTEMS THAT DO NOT HALLUCINATE - Retrieval augmented generation on Pinecone, Weaviate, Qdrant and pgvector with hybrid search and reranking - Chunking and metadata strategy built around your actual document structure - An evaluation harness so you can measure answer accuracy instead of hoping for it - Citations on every answer so your team can verify the source - OpenAI, Anthropic Claude, Gemini and open-weight LLaMA models, fine-tuned only where it earns its cost 4. WEB APP DEVELOPMENT - Next.js, React, TypeScript and TailwindCSS front ends - FastAPI, Node.js and Django back ends on PostgreSQL, Supabase or MongoDB - Multi-tenant SaaS with role-based access, Stripe billing and usage metering - Admin dashboards where you can see, audit and override everything the agent did - Streaming AI responses instead of a loading spinner 5. MOBILE APP DEVELOPMENT - React Native and Flutter for iOS and Android from a single codebase - Offline-first sync, push notifications, in-app purchases and biometric auth - AI features that stay fast on real mobile networks - App Store and Google Play submission handled end to end, review pushback included SHIPPED, NOT PROTOTYPED Docker, CI/CD, AWS, GCP and Vercel. Monitoring, alerting and cost dashboards configured before launch. Clean, tested, documented code your next developer can actually read. SELECTED WORK - ELEVA - AI-native email assistant SaaS built on React, FastAPI and OpenAI - AI voice-call campaign engine with automatic disposition analysis and CRM logging - Document intelligence agent that reads contracts, extracts key terms and flags risks and deadlines - AI sales assistant that listens to live calls, suggests responses and drafts follow-ups in real time - Workflow orchestrator connecting CRM, Slack, Notion and email into one automated pipeline HOW WE WORK Week 0 - Free 30-minute scoping call. You leave with an architecture sketch and a fixed price, whether you hire me or not. Week 1 - A working prototype on your real data or your real call flow. You see it run before committing further. Weeks 2 to 4 - Build, test, iterate. Friday demos and direct Slack access to me. Launch - Deployed, documented and handed over, with 30 days of post-launch support included. WHO I WORK BEST WITH - Funded startups and enterprise teams with builds of 5,000 USD and up - Companies replacing real manual work: call centres, document review, support queues, internal ops - Founders who want one partner owning the agent, the app, the API and the hosting Not a fit: one-off prompt tweaks, unpaid proofs of concept or hourly script patching. Tell me your problem in two sentences. You will get an approach, a timeline and a number back within 4 hours.