Hire the Best LLM Fine Tuning Specialists

𝐓𝐎𝐏 1% 𝐎𝐍 𝐔𝐏𝐖𝐎𝐑𝐊 | 𝐀𝐈 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍 • 𝐀𝐆𝐄𝐍𝐓𝐒 • 𝐀𝐍𝐀𝐋𝐘𝐓𝐈𝐂𝐒 • 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐈𝐎𝐍 𝐒𝐘𝐒𝐓𝐄𝐌𝐒 Most companies don’t need another AI demo. They need systems that: - Automate repetitive work - Integrate with existing tools - Process real business data - And run reliably in production That’s what I build. I’m Tayyab, 𝐄𝐱𝐩𝐞𝐫𝐭 𝐕𝐞𝐭𝐭𝐞𝐝 (𝐓𝐨𝐩 1%), 𝐒𝐭𝐚𝐧𝐟𝐨𝐫𝐝 𝐌𝐒 in AI/NLP, with 200+ successful projects across AI automation, workflow systems, LLM applications, data analytics, and full-stack engineering. I work with startups, operations teams, and growing companies that want to move from manual workflows → scalable AI-powered systems. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 - Claude, GPT-4o, Gemini, OpenClaw - LangGraph, CrewAI, AutoGen - Multi-step AI workflows - Agent systems with structured outputs & evals - Human-in-the-loop automation systems 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 - Slack, Airtable, Notion, HubSpot, Zendesk, QuickBooks - n8n, Make, Zapier + custom backend logic - API orchestration & event-driven systems - Logging, retries, monitoring & observability 𝐀𝐈 + 𝐁𝐫𝐨𝐰𝐬𝐞𝐫 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - Playwright + AI agents - Dashboard & marketplace automation - Internal operations automation - Multi-account workflow systems 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 - Power BI, Tableau, Dash, Plotly - Automated reporting pipelines - KPI tracking & operational dashboards - ETL pipelines & forecasting systems 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 - Python, FastAPI, Node.js - React, Next.js - AWS, GCP, Azure - Docker & Kubernetes 🏆 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 - Insurance AI automation → 40% faster processing - Document AI system → 600-page PDFs processed in minutes - Legal RAG platform → 80–85% verdict alignment - Analytics systems → 200+ reporting hours saved monthly - Cloud intelligence platform → supported $50M+ raise 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 - I build systems, not demos - Strong in AI + backend engineering + automation - I think in workflows, integrations, and business outcomes - Focused on reliability, scalability, and operational impact 📌 𝐁𝐞𝐬𝐭 𝐅𝐢𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 - AI automation systems - Claude/OpenAI workflows - Agent-based operations systems - Browser & RPA automation - Analytics & reporting automation - LLM pipelines with real business data - Internal operations & workflow systems If you’re looking to automate operations with AI that actually works in production, I can help

I build production-ready AI systems RAG pipelines, AI agents, and LLM-powered apps , that turn messy data and manual processes into reliable, automated workflows. 21 projects delivered on Upwork with a 100% Job Success score. Most AI projects look great in a demo and break in production. I focus on the opposite: systems that stay accurate, fast, and affordable once real users and real data hit them. Here's what I help clients build: • RAG systems : chatbots and Q&A tools that answer from your own documents, knowledge bases, and data, with proper retrieval and minimal hallucination • AI agents & automation : multi-step agents that research, summarize, and take actions using LangChain and LangGraph • LLM integration : connecting OpenAI, Anthropic Claude, and open-source models (Llama, Mistral) into your product or internal tools • Optimization : fine-tuning, prompt engineering, and caching to push accuracy up and API costs down My typical stack : Python, LangChain, LangGraph, LlamaIndex, FastAPI, vector databases (Pinecone, Chroma, FAISS), Hugging Face, Docker, and AWS/GCP/Azure. I communicate clearly, scope honestly, and tell you when an AI solution is overkill versus when it's the right call. That's a big part of why my clients keep coming back. A few recent results: • Built a RAG chatbot over 500+ documents that cut support response time more than half. • Reduced LLM API costs by 40% through prompt optimisation and caching. • Shipped an AI agent that automated 10 tasks, saving the team 20 hours per week. If you have an AI idea anything from a quick prototype to a full production system send me a message describing what you're trying to build. I'll reply with an honest take on how I'd approach it, what it would realistically take, and whether it's worth doing.

Availability: Full-time freelancer, 𝟰𝟬+ hours/week, open to long-term collaborations. I’m a Full-Stack & AI Engineer with 10+ years of experience building web and mobile applications and 3+ years of specialized experience in AI and Large Language Models (LLMs). I design, develop, and deploy production-grade platforms, from scalable SaaS dashboards to AI-powered assistants, RAG systems, and voice agents. I work end-to-end: architecture → backend → frontend → cloud deployment, with a focus on clean code, maintainable systems, and high performance. Over the past few years, I’ve delivered solutions that integrate AI/LLM pipelines, vector search, real-time chat, and voice agents for enterprise and startup clients. 🤖 AI & LLM Expertise - MCP Server Development: Designing and integrating custom MCP servers for AI agents, enabling structured tool usage, external system integrations, database querying, and API orchestration. - Fine-Tuning: Persona creation, Q&A systems, and domain-specific models (medical, legal) using Mistral and Llama 3. - Synthetic Dataset Generation: Streamlining LLM training with high-quality datasets. - Evaluation Frameworks: Assessing LLM performance with custom metrics. - Cloud Deployment: Deploying LLMs on AWS and GCP. - AI Agents & Voice Bots: Proficient with LiveKit, Retail AI, OpenAI. - Open-Source Deployment: Expertise deploying models like vLLM on AWS/GCP/RunPod using SkyPilot. 🛠️ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 ➜ LLM Tools: LangChain, Langsmith, Langfuse , Hugging Face, Transformers. ➜ Vector Databases: Chroma, FAISS, Pinecone, Qdrant , Opensearch ➜ AI Workflows: Flowise AI, LangFlow, StackAI. 🛠️ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ➜ Languages & Frameworks: Python, Node.js, ReactJS. ➜ Database Management: MongoDB, MySQL, PostgreSQL , Supabase , FIrebase ➜ Frontend & Backend Integration: Seamlessly connecting APIs and user interfaces. 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 ➜ Open-Source LLMs: Proficiency in LLAMA 3, Mistral 7B, and Mixtral 8x7B. ➜ Prompt Engineering: Expertise in techniques like Chain of Thought, Few-shot Prompting, and Self-Reflection. ➜ Fast Inference: Implementing high-speed solutions with vLLM . 🌟 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? With over 10 years of experience, I deliver scalable, cutting-edge solutions tailored to your project’s needs. Whether it's advanced AI models, MCP server development, LLM optimization, or full-stack development, I ensure top-notch results every time. Let’s collaborate to bring your ideas to life!

⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.

Your team should not waste hours searching documents, answering repeated questions, moving data between tools, or handling workflows manually. I build production-ready AI systems and full-stack web apps that automate that work using RAG, AI agents, Voice AI, MCP, Claude, LangChain, Next.js, and MERN. I combine AI engineering with full-stack development, so you do not need separate people for the AI logic, backend APIs, database, and web interface. I can take your idea from concept to prototype to production deployment. I help businesses build: ➞ AI Chatbots & RAG Systems Custom chatbots trained on documents, PDFs, websites, databases, SOPs, product docs, knowledge bases, or internal company data. I build retrieval systems that provide accurate, source-backed answers and reduce hallucinations. ➞ AI Agents & Workflow Automation AI agents that connect with APIs, CRMs, databases, Google Sheets, Slack, email, calendars, dashboards, and business tools to automate support, sales, admin, reporting, and operations tasks. ➞ Voice AI & Calling Agents Voice AI assistants for booking, customer support, lead qualification, reminders, follow-ups, and internal workflows using real-time voice AI, speech-to-text, and text-to-speech. ➞ MCP & Agentic AI Systems MCP server integrations, tool-using agents, multi-step workflows, function calling, structured outputs, API-connected agents, and agentic systems that work across your existing software stack. ➞ AI-Powered Web Apps & SaaS Full-stack AI apps using Next.js, React, Node.js, Express.js, Python, FastAPI, MongoDB, PostgreSQL, Supabase, and cloud deployment. I build dashboards, portals, admin panels, MVPs, SaaS apps, and internal tools. ➞ Document AI, ML & Computer Vision Systems for extracting, summarizing, classifying, and analyzing PDFs, invoices, forms, reports, contracts, images, videos, and business records. Recent project experience: • RAG chatbots for company documents, websites, databases, and knowledge bases • AI agent workflows for support, operations, lead handling, and reporting • Voice AI assistants for calls, booking, follow-ups, and customer communication • Full-stack AI dashboards using Next.js, React, Python, FastAPI, MongoDB, and PostgreSQL • Document AI pipelines for extraction, summarization, classification, and search • Computer vision and machine learning systems for detection, analytics, and prediction Core Skills & Tech Stack: ✅ LLM Apps & AI Orchestration: LangChain, LangGraph, LlamaIndex, OpenAI API, Claude, Gemini, Llama, Mistral, Hugging Face, AWS Bedrock, Google Vertex AI, MCP Servers, Pydantic AI ✅ RAG, Knowledge Bases & Vector Search: RAG pipelines, semantic search, hybrid search, embeddings, Pinecone, Weaviate, ChromaDB, Qdrant, FAISS, Supabase, PostgreSQL/pgvector ✅ AI Agents & Voice AI: AI agents, agentic workflows, multi-step workflows, tool-calling agents, OpenAI Realtime API, Whisper, OpenAI TTS, ElevenLabs, Retell AI, Twilio, speech-to-text, text-to-speech ✅ Document AI & Prompt Engineering: PDF parsing, OCR, document Q&A, invoice extraction, form processing, summarization, classification, prompt design, structured outputs, JSON mode, function calling ✅ Full-Stack AI Apps: Next.js, React, Node.js, Express.js, MERN stack, TypeScript, JavaScript, Tailwind CSS, Streamlit, SaaS dashboards, admin panels, customer portals ✅ Backend, Data & Deployment: Python, FastAPI, Flask, Django, REST APIs, GraphQL, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean, PostgreSQL, MongoDB, MySQL, Redis, Supabase, Firebase ✅ Integrations & Automation: HubSpot, Salesforce, Slack, Microsoft Teams, Google Sheets, Zapier, Make, Stripe, webhooks, CRM integrations, ERP integrations, custom API integrations ✅ ML & Computer Vision: PyTorch, TensorFlow, Scikit-learn, XGBoost, OpenCV, YOLO, image classification, object detection, predictive models, recommendation systems, anomaly detection I am a good fit if: • You want an AI system that solves a real business problem, not just a demo • You need an AI chatbot, RAG system, Voice AI agent, MCP integration, or automation workflow • You want a full-stack developer who can build the AI backend and web dashboard • You value clean code, clear communication, and production-ready delivery What you can expect: • Clear project scope before development starts • Fast communication and regular progress updates • Clean, maintainable, production-ready code • Practical AI architecture focused on accuracy, speed, and reliability • End-to-end ownership from idea to deployment If you need an AI chatbot, RAG system, Voice AI agent, MCP integration, LangChain app, Claude/OpenAI integration, Next.js SaaS platform, MERN app, or AI-powered automation tool, send me a message with your idea, data sources, and workflow.

I specialize in machine learning with a focus on large language models (LLMs). With a robust skill set in creating synthetic datasets, fine-tuning models, benchmarking pretraining tasks, and developing efficient pipelines, I excel in delivering innovative solutions. My expertise extends to Retrieval-Augmented Generation (RAG), where I enhance model performance by integrating external knowledge retrieval systems to provide more accurate, contextually relevant outputs. Additionally, I have a strong background in developing Agentic Pipelines, enabling the design of autonomous systems that can perform complex, multi-step tasks with minimal human intervention. Whether you're looking to optimize AI performance, or create intelligent systems that require seamless interaction between AI agents and external data sources, I provide comprehensive project management to ensure smooth execution from concept to deployment. Let’s collaborate to transform your ideas into impactful digital solutions.