Joe L.

AI Engineer | AI Agents | n8n | RAG | Fullstack Developer

🫡 Top-Tier Professionalism, Communication, and Reliability 🥇 The Top 1% of Talent - Expert Vetted - 100% Job Success ⚡ AI Engineer combining AI speed with 12 years of production experience to deliver premium code that ships fast and scales effortlessly. Currently have availability for 1 additional project as of July 2026. 𝗜𝘀 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗱𝗲𝘀𝗶𝗿𝗲𝗱 𝗿𝗲𝘀𝘂𝗹𝘁𝘀? 𝗡𝗲𝗲𝗱 𝗵𝗲𝗹𝗽 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁? 𝗜 𝗰𝗮𝗻 𝗴𝗲𝘁 𝘆𝗼𝘂 𝘂𝗻𝘀𝘁𝘂𝗰𝗸 𝗮𝗻𝗱 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝘁𝗼𝗱𝗮𝘆. Many teams bolt an API call onto existing software and call it AI. Then real users arrive: costs balloon, outputs hallucinate, and there's no visibility into why. Production AI requires a different discipline — grounding, observability, systematic evaluation — not just an API call to a thin LLM wrapper. That discipline is what I'll bring to your team. I can tell you exactly what type of AI tooling you require for your specific solution. I can help you determine the technical feasibility of your AI project 𝘣𝘦𝘧𝘰𝘳𝘦 you spend valuable time and money pursuing it. I can teach your team how to use agentic development to build software quickly and confidently. In short, I'm here to make sure you and your team get what you need from AI technology. 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝗶𝗲𝘀 ✅ AI Pipeline Architecture: hybrid RAG, AI agents and agentic tool-calling loops (LangGraph), structured output enforcement, prompt injection defense, PII redaction, quantization ✅ AI Evaluation: LLM-as-judge frameworks, test set design, deterministic checkers, RAGAS retrieval metrics, regression tracking ✅ AI Optimization: prompt engineering, retrieval tuning, context compression (LLMLingua), caching strategy, cost/latency tradeoff analysis, experiment tracking (MLflow) ✅ Workflow Automation: n8n, Make, Zapier, scheduled and event-driven orchestration, agentic pipelines ✅ Computer Vision & Model Training: custom image-to-image model training and fine-tuning, PyTorch, GPU cloud training on RunPod, dataset curation and evaluation ✅ Advisory & Thought Leadership: AI feasibility analysis, subject-matter expertise, technical white papers, original research for leadership teams ✅ Observability: OpenTelemetry tracing, Prometheus metrics, Grafana dashboards, Loki logging, Jaeger ✅ LLM Providers & Models: Anthropic, OpenAI, Gemini, self-hosted GGUF quantized models, Llama Guard ✅ Frontend: React, Next.js, TypeScript, Tailwind, Redux, SSE/WebSocket streaming ✅ Backend: Python (FastAPI, Celery), Node.js, Go ✅ Databases: PostgreSQL, Pinecone, Qdrant, Redis, MongoDB, Firebase ✅ Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝘅𝗽𝗲𝗰𝘁 - A pipeline you can trust in production — not just one that demos well. I instrument observability, build eval frameworks, and optimize systematically so you know what's working, what isn't, and why. - Full-stack ownership — I can own the AI layer, the API, and the frontend. No coordination tax between specialists; one engineer who sees the whole system, a fullstack developer who owns the AI layer, the API, and the frontend. - Communication that matches your pace — async-first with structured updates, or high-touch with regular syncs. I adapt to how your team works, not the other way around. - Clarity from ambiguity — I have built production systems from partially-defined requirements many times. If you know the problem but not the solution, that's exactly the engagement I'm built for. 📞 𝗟𝗲𝘁'𝘀 𝗧𝗮𝗹𝗸 If your AI project needs to actually work — reliably, efficiently, and at a cost that makes sense — let's talk. Schedule a no-obligation call to discuss your project in detail.