Hire the Best LLaMA Specialists

🎯 I turn raw ideas into AI-powered products investors back & users love • Ex-Google & NGINX engineer, • Top-1% Upwork "Expert-Vetted" freelancer, • AI / full-stack architect with 100 + shipped products powering 1 M+ monthly users and helping founders raise $30 M+. 🚀 RESULTS * SaaS platforms & mobile apps that closed $50 M+ in VC rounds * AI agents & RAG chatbots saving 1000s of staff hours monthly across law, procurement, healthcare & finance * Digital products delivering 1 M+ monthly active users and 7-figure ARR growth 🤝 WHY FOUNDERS HIRE ME * Investor-ready builds - Planning to raise? I understand what it takes to impress VCs - from demo-day-ready UX to scalable architecture that holds up under due diligence. * Battle-tested delivery – 10 + years of experience with Google, NGINX/F5 & high-growth startups * Speed without chaos – Lean scope, fast reliable launches, clear milestones, weekly demos, * no-surprise invoices. * Built-in AI edge – Ship smarter products faster with AI agents, RAG, fine-tuned LLMs, and vector search - without hiring a separate ML team. * True partnership – Aligned with your business goals: product strategy, UX polish, post-launch optimization, and VC + go-to-market support (AI-driven SEO, ChatGPT/Google/Bing indexing, ads, directories) – not just coding. 🗺️ MY PROVEN PROCESS TO BUILD SAAS 1. Discovery → AI opportunity mapping & success metrics (BRD, wireframes, technical architecture) 2. Clickable Prototype → Investor-ready demo in 7-14 days 3. Incremental Build → Weekly value drops with real-time staging links 4. Launch & Iterate → Observability, A/B tests, cost & latency tuning 📞 NEXT STEP Ready to turn your vision into reality? Invite me to your job or drop a message for a free strategy call. Let's build something investors fund and users rave about -together. 🔧 TECH STACK React / Next.js • React Native & Flutter • Python, FastAPI • Prisma & tRPC • PostgreSQL, Supabase • AWS Bedrock, GCP Vertex • OpenAI GPT, Anthropic Claude • LangChain, LangGraph, LlamaIndex • Pinecone, Weaviate • WebGPU & WASM • MCP, A2A, n8n, Clawdbot, Make . com automations • Docker & Kubernetes

I build AI agents, RAG pipelines, and LLM-powered automation systems that run in production. Startups and growing businesses hire me when they need intelligent AI systems that actually work: agents that execute multi-step tasks, RAG systems that surface accurate answers from their data, and automation workflows that eliminate hours of manual work daily. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⭐ CLIENT RESULTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ "Victor delivered a multi-agent RAG system in 3 weeks that cut our support ticket volume by 60%. Clean architecture, zero hand-holding needed." — SaaS Founder "Victor built an AI sales automation agent that now handles 80% of our lead qualification. ROI in the first month." - Ecommerce Client "Our internal knowledge base assistant went from concept to production in under 2 weeks. Highly recommend for any LLM project." — Tech Startup CTO ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → AI agents with tool calling, memory, and multi-step reasoning → RAG systems connecting LLMs to your documents, databases & APIs → Multi-agent orchestration systems (LangGraph, CrewAI, AutoGen) → AI chatbots for customer support, lead generation & onboarding → Sales automation: lead qualification, follow-ups, and booking flows → Internal AI assistants powered by your proprietary business data → Workflow automation integrating Slack, Notion, CRMs, and custom APIs → End-to-end LLM deployment: backend, infra, monitoring & evaluation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 LLMs: Claude 3.5 Sonnet | GPT-4o | Gemini | Mistral | LLaMA 🔗 Frameworks: LangChain | LangGraph | CrewAI | AutoGen | Haystack 🗄️ Vector DBs: Pinecone | Weaviate | pgvector | FAISS | Chroma 🐍 Backend: Python | FastAPI | Node.js | REST APIs | Webhooks ☁️ Cloud & Infra: AWS | Docker | Serverless | CI/CD pipelines 📊 Evaluation: LLMOps | Hallucination reduction | AI monitoring ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 WHY CLIENTS CHOOSE ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✔ Production-first mindset. I build for scale, not just proof of concept ✔ Deep expertise across the full LLM stack: retrieval, orchestration, deployment ✔ Accuracy-obsessed, strong focus on reducing hallucinations in RAG systems ✔ Clear communication and structured delivery, milestone by milestone ✔ Free 30-min consultation to scope your project and recommend the right architecture Ready to turn your AI idea into a working, deployed system? 💬 Send me a message. Let's scope it out. Keywords AI Agent Development, Retrieval Augmented Generation, RAG Systems, LLM Engineer, LangChain, AI Automation, Multi-agent Systems, LangGraph, AI Chatbot Development, Autonomous Agents, Prompt Engineering, Vector Database, Pinecone, OpenAI API, Claude AI, GPT-4, Generative AI, Conversational AI, Workflow Automation, Natural Language Processing, FastAPI, Python AI Development, AI Integration, Knowledge Base Chatbot, LLMOps, Tool Calling Agents, CrewAI, AutoGen, Weaviate, pgvector, FAISS, Semantic Search, Embeddings, AI Orchestration, Document Chatbot, Customer Support AI, Sales Automation AI, Internal AI Assistant, AI Copilot, Hallucination Reduction, AI Deployment, Serverless AI, Docker, AWS AI, AI Product Development, Enterprise AI, AI Evaluation, Chatbot Integration, Lead Generation Chatbot, Data Pipeline AI, AI Agent Development, Retrieval Augmented Generation, RAG Systems, LLM Engineer, LangChain, AI Automation, Multi-agent Systems, LangGraph, AI Chatbot Development, Autonomous Agents

LLM Engineer and Generative AI Specialist with 8+ years of experience building AI automations, chatbots, RAG systems, and AI agents for real-world business applications. I design and deploy production-ready LLM applications using LangChain, LlamaIndex, OpenAI APIs, and vector databases like Pinecone, Weaviate, and Qdrant. My focus is on delivering reliable, scalable, and high-accuracy AI solutions. 🔹 What I can help you build • LLM-powered applications (GPT, Claude, open-source LLMs) • RAG (Retrieval-Augmented Generation) systems for private data • Use OpenClaw (ClawdBot) to build AI automation workflows • AI chatbots for customer support, legal, medical, or business use • AI agents and multi-step autonomous workflows • Semantic search engines and embeddings pipelines • Prompt engineering and LLM optimization • Fine-tuning LLMs with HuggingFace • Open-source LLM setup with vLLM or Ollama • AI automation and RPA with UiPath 🔹 Technical Stack • LLMs & GenAI: OpenAI, Claude, HuggingFace, LangChain, LlamaIndex • Vector DBs: Pinecone, Weaviate, FAISS • NLP: SpaCy, NLTK, BERT, AraBERT, Gensim • Backend: Python, FastAPI, Flask • Databases: MongoDB, MySQL, Elasticsearch • Deployment: Docker, server deployment, Replicate (Cog) • RPA: UiPath (Certified Advanced Developer) 🔹 Selected GenAI Projects AI Agent Planner & Executor : Built an AI agent capable of handling complex multi-step tasks using function calling, planning, and self-evaluation for reliable results. RAG Document Search System : Developed a RAG system for PDFs, DOCX, and PPTX files with access control and department-based retrieval using Weaviate. SQL AI Assistant (SQLytics) : Created an LLM-powered tool that converts natural language into SQL queries and retrieves accurate database insights. Legal AI Chatbot : Built a chatbot connected to legal database with source-backed answers via text and voice. 🔹 Why work with me? • Production-ready AI solutions (not just prototypes) • Vibe coder: using Cursor AI and Claude Code • Clean, scalable architecture • Strong communication and reliability • Focus on real business value If you need a serious LLM/GenAI expert to build high-quality AI solutions, I’d be glad to help.

Most AI projects fail not because of bad models — but because of bad architecture and no product thinking. That's the gap I fill. I'm a Senior AI Engineer with 5+ years designing and shipping intelligent systems across Healthcare, FinTech, E-commerce, and SaaS — end-to-end, from whiteboard to AWS production. What sets me apart: I think like a product engineer, not just a developer. I ask why before I ask how. That means fewer pivots, less wasted build time, and systems that actually solve the right problem. What I've delivered: - RAG pipelines that cut document retrieval time by 60%+ for data-heavy clients - Multi-agent systems that automated complex workflows end-to-end - Fine-tuned LLMs tailored to medical records, financial reports, and product catalogs - Semantic search engines replacing keyword search across large-scale SaaS platforms - Scalable AI APIs handling thousands of daily requests with less than 200ms response time - Full MLOps pipelines on AWS — from model training to monitoring in production What I build with: - Languages: Python, Node.js - LLM Frameworks: LangChain, LlamaIndex, OpenAI, Claude, HuggingFace, Ollama - Vector DBs: Pinecone, Weaviate, ChromaDB, pgvector - Databases: PostgreSQL, MongoDB, Redis - Cloud & MLOps: AWS (SageMaker, Bedrock, Lambda, S3, EC2), Docker, FastAPI - Agent Frameworks: AutoGen, CrewAI, LangGraph - Search: Elasticsearch, FAISS How I work: I'm autonomous, proactive, and I communicate clearly — you'll always know where things stand. No hand-holding needed, no surprises at the deadline. If you want an AI engineer who owns both the technical depth and the product vision — let's talk.

𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗔𝗜 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗰𝗼𝗺𝗲 𝗷𝘂𝘀𝘁 𝗳𝗿𝗼𝗺 𝗯𝗲𝘁𝘁𝗲𝗿 𝗽𝗿𝗼𝗺𝗽𝘁𝘀. 𝗜𝘁 𝗰𝗼𝗺𝗲𝘀 𝗳𝗿𝗼𝗺 𝗯𝗲𝘁𝘁𝗲𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗲𝗮𝗿𝗻𝘀 𝗶𝘁𝘀 𝘄𝗮𝘆 𝗶𝗻𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. First call is free — no pitch, just a conversation about what you need. I spent 5 years as a backend engineer at Walmart, Oracle, and VMware, building systems where reliability wasn't optional. Now I apply that same engineering discipline to AI — because the gap between a promising demo and a product your customers can depend on is almost always engineering work, not model work. Datalumina-certified AI Engineer, focused on production-ready RAG, LLM orchestration, and evaluation. I write about RAG, LLM evaluation, and production AI engineering — happy to share case studies and technical posts on our first call. ✦ 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 • RAG assistants that cite their sources and gracefully say "I don't know" • Support chatbots grounded in your docs and ticket history — ones that actually resolve • Internal AI tools wired into your CRM, database, or Notion — the kind your team keeps using after week one • Python-based workflow automation that quietly runs the work no one wants to do manually ✦ 𝗛𝗼𝘄 𝗜 𝘁𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜 𝘄𝗼𝗿𝗸 • Retrieval and cost-optimization first, model second. • I evaluate before I promise — if I can't measure it, I won't claim it won't break • Guardrails from day one — not bolted on after the first embarrassing output • I match the tool to the problem — sometimes a scheduled script beats an AI agent, and I'll tell you when that's true ✦ 𝗧𝗼𝗼𝗹𝘀 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 • Python • SQL 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 • FastAPI • PostgreSQL • Redis queues 𝗔𝗜 / 𝗠𝗟 • OpenAI • Claude • Gemini • PydanticAI • LangChain 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 • PostgreSQL with pgvector and TimescaleDB • Semantic search, Hybrid search 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • Python • Scheduled jobs 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 • Hetzner Cloud • AWS • Docker • Git ✦ 𝗛𝗼𝘄 𝘄𝗲'𝗹𝗹 𝘄𝗼𝗿𝗸 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿 • Our first call is free — we figure out what "done" looks like before I quote • I write down scope, tests, and acceptance criteria, so you always know where we stand • You'll get readable code, short docs, and a working demo — never a black box • I don't disappear at handoff — I'll help you through deployment and the first round of real-world fixes Tell me what you're trying to solve. I'll ask the right questions before quoting anything.

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄, 𝗠𝗖𝗣, 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁, 𝗥𝗔𝗚, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗔𝗜 𝗦𝗮𝗮𝗦 ⭐ 𝟴+ 𝗬𝗲𝗮𝗿𝘀 𝗦𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 I build AI systems that run operations — not just answer questions. Lead qualification, inbound calls, CRM workflows, multi-step task execution, autonomous outreach — all running 24/7 without human intervention. That's the gap between a demo and a system, and that's where I work. Deep in OpenClaw — SOUL.md, multi-agent delegation, gateway auth, ClawHub skills, MCP bridges, multi-channel deployment. Equally fluent in Hermes Agent (persistent memory, AgentSkills, Honcho modeling, Atropos RL) and Paperclip (multi-agent company orchestration, Clipmart templates, zero-human companies). 🔥 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 OpenClaw, LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK, Agno, Mastra, PydanticAI, Smolagents, Letta/MemGPT, DSPy. MCP + A2A protocol architectures with persistent memory and multi-agent delegation. 🔌 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Custom Python/Node.js/TypeScript MCP servers connecting AI agents to databases, APIs, CRMs, and internal tools. Claude, OpenClaw, Cursor, ChatGPT → operational engines. 📚 𝗥𝗔𝗚 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝘀 Pinecone, Weaviate, Qdrant, ChromaDB, FAISS, Milvus, pgvector, Supabase. PDF chatbots, knowledge bases, document AI, semantic search for legal, medical, real estate, enterprise. 💬 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 IVR, websites. Botpress, Voiceflow, Chatbase, Dialogflow, Rasa, Flowise, Dify, Langflow. CRM-integrated lead qualification, appointment booking, support automation. 🗣️ 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 Vapi, Retell AI, Bland AI, Synthflow, ElevenLabs, Twilio, Deepgram, AssemblyAI. AI receptionists, SDR callers, appointment bookers synced to GoHighLevel, HubSpot, Salesforce. ⚙️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗖𝗥𝗠 n8n, Make, Zapier, Power Automate. GoHighLevel, HubSpot, Salesforce, Pipedrive, Zoho, Close, Kommo, Bitrix24, Keap. Airtable, Notion, Slack integrations. 🚀 𝗔𝗜 𝗦𝗮𝗮𝗦 & 𝗠𝗩𝗣𝘀 End-to-end AI SaaS platforms. Next.js, React, Supabase, Firebase, Stripe, Vercel. MVPs in weeks, not months. 🧠 𝗔𝗜 𝗖𝗼𝗱𝗶𝗻𝗴 & 𝗗𝗲𝘃 𝗧𝗼𝗼𝗹𝘀 Claude Code, Cursor, Windsurf, Cline, Codex CLI, OpenCode, Gemini CLI, Aider, Goose, Amp, GitHub Copilot, Devin. Bolt, Lovable, Vercel v0. Structured vibe coding frameworks. 🎯 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 LoRA, QLoRA, RLHF, DPO, PEFT with Unsloth, Axolotl, HuggingFace. vLLM, TGI, TensorRT-LLM, DeepSpeed on AWS / RunPod / GCP. Also: Flutter cross-platform apps, web scraping (Scrapy, Playwright, Firecrawl, Browser Use), and AI outreach pipelines (Clay, Apollo, Instantly, Smartlead, Artisan AI). 🛠️ 𝗦𝗧𝗔𝗖𝗞 Claude / GPT-5 / Gemini / Mistral / Llama 3 / DeepSeek via OpenRouter & Bedrock | Python, FastAPI, Node.js, Django, Go | React, Next.js, Vue.js | PostgreSQL, MongoDB, Redis, Supabase, Firebase | Docker, Kubernetes, AWS, Azure, GCP | Stripe, Plaid | REST, GraphQL, Webhooks 🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Real Estate, Healthcare, Legal, E-commerce / Shopify, Home Services, Finance, Insurance, Marketing Agencies, SaaS, Education, Construction, Hospitality, Recruiting, Logistics, Coaching, Dental, Solar, Property Management, Crypto / Web3 ⚙️ 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Scoping call → Architecture → Fast prototype (days) → Production hardening → Documentation / handoff I offer 𝟯𝟬 / 𝟲𝟬-𝗺𝗶𝗻 𝗽𝗮𝗶𝗱 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 for AI architecture review, build vs. buy decisions, and MVP scoping. ► 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: AI Agent Developer, AI Automation Engineer, AI Integration, AI Chatbot Developer, Agentic AI, Multi-Agent Systems, OpenClaw Expert, Hermes Agent, Paperclip AI, MCP Server Developer, Claude Code, Cursor, Windsurf, Vibe Coding, LangChain, LangGraph, CrewAI, AutoGen, Google ADK, Mastra, PydanticAI, Agno, RAG Pipeline, LLM Engineer, Generative AI, Prompt Engineering, Fine-Tuning, LoRA, Voice AI, Vapi, Retell AI, ElevenLabs, Deepgram, GoHighLevel, GHL, HubSpot, Salesforce, Botpress, Voiceflow, Chatbase, WhatsApp Chatbot, Telegram Bot, n8n Expert, Make Automation, Zapier, AI SaaS MVP, Flutter, Python, FastAPI, React, Next.js, Supabase, Stripe, Web Scraping, AI Lead Generation, AI SDR, AI Outreach