Hire the Best Semantic UI Specialists

🚀 I build production-ready AI applications, autonomous agents, and scalable full-stack web platforms using Next.js and Python. Whether you need a custom RAG pipeline over proprietary documents, an intelligent multi-agent automation workflow, or a full SaaS platform from scratch, I take projects from architecture to deployment with clean, maintainable code. ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ CORE CAPABILITIES ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 Generative AI & Agentic Systems ├── Multi-step autonomous agents (LangChain, LangGraph) ├── Production RAG pipelines & hybrid search ├── Semantic vector search & document ingestion └── OpenAI, Claude & open-source LLM integrations 🔹 Full-Stack SaaS Engineering ├── High-performance web apps (Next.js, React, TypeScript) ├── Modern, responsive interfaces with Tailwind CSS └── Serverless architecture & API design 🔹 Backend, Data & Cloud ├── High-throughput Python APIs (FastAPI, Django) ├── Relational & vector databases (PostgreSQL, pgvector, Supabase) └── Containerization & cloud deployment (Docker, AWS) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ WHAT I CAN BUILD FOR YOU ━━━━━━━━━━━━━━━━━━━━━━━━━━ ✔ Autonomous AI Agents & multi-tool workflow automations ✔ Production-grade RAG systems over PDFs, docs & databases ✔ Complete SaaS applications with Auth, RBAC & Stripe payments ✔ Responsive admin dashboards & high-throughput internal tools ✔ Scalable RESTful & GraphQL microservices ✔ Dockerized deployments & cloud infrastructure setup ━━━━━━━━━━━━━━━━━━━━━━━━━━ 💻 TECHNICAL STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 AI & LLM Systems ├── LangChain │ LangGraph │ LlamaIndex ├── OpenAI API │ Anthropic Claude │ Hugging Face └── pgvector │ Pinecone │ ChromaDB 🌐 Frontend ├── Next.js (App Router) │ React.js │ TypeScript ├── Tailwind CSS │ Redux │ Zustand └── Responsive Figma-to-Code implementation ⚙️ Backend & Database ├── Python (FastAPI, Django) │ Node.js │ Express ├── PostgreSQL │ Supabase │ Redis │ MongoDB └── RESTful APIs │ GraphQL │ WebSockets ☁️ DevOps & Infrastructure ├── Docker │ Docker Compose ├── AWS (EC2, S3, Lambda) │ Linux administration └── CI/CD pipelines │ Git & GitHub ━━━━━━━━━━━━━━━━━━━━━━━━━━ 📋 HOW WE WILL WORK TOGETHER ━━━━━━━━━━━━━━━━━━━━━━━━━━ 1️⃣ Discovery ➔ Clarify business goals, scope, and technical roadmap 2️⃣ Iterative Sprints ➔ Deliver testable, working milestones rapidly 3️⃣ Transparent Updates ➔ Regular progress demos and clear communication 4️⃣ Deployment & Support ➔ Comprehensive testing, documentation, and handoff Ready to bring your project to life? 📩 Click "Invite to Job" or send a message to discuss your requirements!

AI/ML engineer, Python. I build AI features that run in production: self-hosted model serving, retrieval, and the API around them. Two of my own products are live right now, both built solo. ✅ Self-hosted LLM and vision inference: transformers, vLLM, ONNX Runtime, llama.cpp, int8 and 4-bit quantization. Replacing paid API calls with your own GPU or CPU box, with measured latency and cost per request. ✅ RAG and semantic search: BGE-M3 and OpenCLIP embeddings, Qdrant, FAISS, BM25, hybrid retrieval with Reciprocal Rank Fusion, plus a benchmark so quality is measured and not guessed. ✅ AI moderation pipelines: image scoring, Florence-2 captioning and OCR, LLM policy judging, duplicate detection with perceptual hashing and SimHash. ✅ MCP servers and agent tooling: a code RAG server that AI coding agents query over a 3,000-file codebase. ✅ ML: XGBoost with calibrated probabilities, purged cross-validation, honest out-of-sample numbers, PyTorch models exported to ONNX and verified before they ship. ✅ Production: FastAPI, PostgreSQL, Redis, Docker, Prometheus, API keys and rate limiting, CI/CD, Linux, on-demand GPU orchestration that drops inference cost to zero when idle. My two live products: an AI classifieds marketplace where self-hosted models screen every ad before publication, and a paid SaaS that forecasts crypto volatility risk with calibrated, leakage-tested models. Both are in production. Before AI/ML: 10+ years backend and full-stack, PHP 8, Laravel, Vue.js, PostgreSQL, REST APIs, 3,400+ hours on Upwork. That is why my ML work ships as a running service with tests and monitoring instead of a notebook. I still take Laravel and Vue work when it fits. Send me the details and I will tell you straight whether I am the right fit.

👋 Hi there! I am an 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 and 𝗗𝗮𝘁𝗮 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 dedicated to building intelligent, autonomous systems that solve complex business problems. With a background spanning AI Research, Big Data Engineering, and Full-Stack Development, I bridge the gap between raw data and actionable, AI-driven interfaces. I specialize in Agentic AI workflows (using LangGraph and CrewAI) and Large-scale Data Analytics (via Azure Databricks and PySpark). Whether you need an autonomous agent for financial auditing or a high-performance web application powered by RAG (Retrieval-Augmented Generation), I provide the technical depth to deliver reliable, production-ready solutions. 💪 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸: • Generative AI: LangChain, LangGraph, CrewAI, LlamaIndex, and RAG Frameworks. • Data Engineering: PySpark, Azure Databricks, ADLS Gen2, SQL, and ETL Pipelines. • Machine Learning: PyTorch, TensorFlow, Scikit-Learn, and Computer Vision (YOLOv8). • Full-Stack Web: Next.js, React, TypeScript, FastAPI, and Node.js. • Cloud & DevOps: Azure, AWS, Docker, and Firebase. 🎯 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗪𝗶𝘁𝗵: • Autonomous AI Agents: Designing state-driven agentic architectures for finance, research, or automation. • Enterprise RAG Systems: Building specialized knowledge bases and observability platforms for real-time failure detection. • Big Data Solutions: Engineering scalable data pipelines and performing deep analytics using cloud-native tools. • AI-Powered Web Apps: Developing responsive, high-performance dashboards that integrate complex ML models seamlessly. • Research & Benchmarking: Evaluating LLM performance and engineering reasoning traces for verifiable AI systems. I am committed to providing premium, technically-aware services tailored to your specific goals. Let’s collaborate to build the next generation of intelligent software!

Your AI feature works in the demo but confuses real users. I fix that — 15+ years designing products at Microsoft-scale companies, now helping teams ship LLM features people actually trust. Teams bring me in for three things. First, UX audits of AI features: a heuristic review built for LLM products — trust, error recovery, feedback loops, where the model meets the interface — with scored findings and a prioritized fix list. Second, AI readiness reviews: opportunity scoring, build-vs-buy calls, risks, and a 90-day roadmap your stakeholders can actually read. Third, clickable prototype sprints: realistic LLM-powered flows, test-ready in days. I work in Figma and in code, so prototypes look and behave like the real thing — never lorem ipsum. I've spent 15+ years in design leadership, including Microsoft and large enterprise product organizations — design systems, enterprise UX, and technical product leadership. On Upwork: $300K+ earned across 62 jobs and 2,300+ hours, Expert-Vetted (top 1%). I bring both sides of the table: senior design judgment plus hands-on LLM engineering — RAG, agentic workflows, evals, and guardrails that keep humans in control. I work async-first with a weekly walkthrough, deliver written findings your team can act on without me in the room, and I'll tell you plainly when AI isn't the answer. I don't take on financial-services clients. If you're deciding what to build — or why what you built isn't landing — message me and we'll scope it in one conversation.