Hire the Best Machine Learning Engineers
in Belgium

Full-stack .NET developer specialized in Blazor, AI integrations, and Azure cloud deployments. I help businesses ship webapps, SaaS platforms, and intelligent workflows. What I build for you: Custom web apps & dashboards with Blazor (WebAssembly or Server) AI-powered automation tools — document processing, ML pipelines .NET APIs, backend systems, and third-party integrations (Stripe, Google, QuickBooks) Cloud deployments on Azure (App Service, Container Apps, CI/CD) Blazor project migrations to the latest .NET, performance optimization Recent wins: Built an AI-driven document processing system that cut manual work by 70% Delivered a multi-tenant SaaS platform for the hospitality industry. Created a Blazor PWA with optimized route planning and scheduling. Optimized webapps SEO, loading speed and performance. Integrated LLM-based search with company knowledge bases (RAG) Why it works: 12+ years full-stack, currently: .NET, C#, Blazor, and Azure Micro-degree in AI/ML with hands-on experience Clean architecture, Modular Monolith, CQRS for Sustainable code Fluent English, Native Dutch — EU-based Result-driven solutions, not just code. Let's scope your project. Current skills, technologies used & interests: 💻 Front-end: Blazor, MudBlazor, HTML, CSS, Bootstrap, PWA, UX, UI, Cross-platform 💻 Back-end: C#, ASP .NET Web API, Minimal API, Background Worker, Azure Container Apps & Jobs, Aspire, Docker 💻 API & SDK Integrations: Google Cloud APIs (Maps, Calendar, Analytics, Vision), Facebook Graph API, QuickBooks, Stripe, Mollie 💻 Database: MS SQL, PostgreSQL, Azure CosmosDB, MongoDB 💻 Cloud: App Service, Azure Service Bus, Application Insights, Azure Container Apps, CI/CD, DevOps 💻 Authentication: token-based, OAuth 2.0, Azure Entra ID, KeyCloak 💻 Architecture: Modular Monolith, Mono-repo, Multi-domain setups, NuGet, CQRS, Event-Driven 💻 Machine Learning: ML.NET, Deep learning, Microsoft Azure AI, NLP, CV, YOLO, OCR, transformers, LLM, fine-tuning, semantic search, RAG 💻 GenAI: Microsoft Agent Framework, Agentic coding, MCP

I build machine learning systems that run in production. Not demos. Not proofs of concept. Deployed, measurable AI. Seven years of ML engineering, eight AI products live, and a client base that spans healthcare, fintech, e commerce, and Web3. The work covers the full lifecycle from model design, training, fine tuning, deployment, and MLOps, with a consistent delivery record of 30 to 40% measurable improvement on core business metrics. Generative AI and Large Language Models LLM fine tuning and production deployment across GPT 4, Claude, Gemini, and LLaMA. Delivered eight GenAI applications to date, including RAG systems, multi step AI agents, and enterprise chatbots built on OpenAI API, Azure OpenAI, and LangChain. Prompt engineering is treated as an engineering discipline, structured, testable, and versioned. Fluent in Hugging Face, FAISS, Pinecone, and agentic AI frameworks. Machine Learning and Deep Learning Custom model architecture using TensorFlow 2.x, PyTorch, Keras, and scikit learn. Experience spans supervised learning, unsupervised learning, transformer based architectures, BERT fine tuning, and ensemble methods built for enterprise scale, not Kaggle benchmarks. Computer Vision Real time vision systems achieving 98% plus accuracy using YOLO, ResNet, and custom CNN architectures. Deployed applications include quality control automation, medical imaging analysis, and sports performance tracking with complex occlusion handling. NLP and Conversational AI Production NLP pipelines processing 10M plus documents daily using BERT, Hugging Face Transformers, spaCy, and NLTK. Covers sentiment analysis, document classification, named entity recognition, and the full backend stack for AI chatbot development. Predictive Analytics and Time Series Forecasting models with 75 to 90% accuracy using LSTM, GRU, Prophet, and XGBoost, applied to demand forecasting, fraud detection, credit risk scoring, and customer behavior prediction. Industry Coverage Healthcare AI with HIPAA compliant clinical decision support, diagnostic algorithms, and medical imaging. Financial services including fraud detection, AML and KYC automation, algorithmic trading, and risk modeling. E commerce covering recommendation engines, dynamic pricing, and personalized AI. Manufacturing including predictive maintenance and supply chain optimization. Web3 covering on chain analytics, DeFi modeling, and wallet behavior prediction. Selected Deployments Alfred AI with 25% reduction in e commerce returns through ML powered personalization NBA Predictor with 78% match outcome accuracy, live at hyperformancepicks Valfile with NLP based talent matching and resume analysis at scale Binance Chain Analytics with 3.4TB processed and 90% recall on investor scoring InfoFinlandBot, RecorDr, Lawyerup as production GPT based systems with real users Stack TensorFlow 2.x, PyTorch, Keras, scikit learn, XGBoost, Hugging Face, LangChain, Pinecone, FAISS, OpenCV, spaCy, NLTK deployed on AWS SageMaker, Azure ML, and Google Vertex AI via Docker and Kubernetes. Python, R, SQL, JavaScript, Scala. MLflow for experiment tracking and MLOps pipeline management.

I'm a front-end developer with experience in building web and mobile applications for small to medium-sized businesses. I can help you create the software that you and your business needs to stand out! With high focus on design and user experience as well as software that works, I am the perfect fit for your needs. - Proven as a great developer that thinks with the business to help your business grow! (Read past reviews.) - I am a big believer in clear and fast communication, I will be available in a heartbeat and will be flexible to fit your needs. - I use ReactJS for web application. For mobile applications I use React Native. - I have some experience with NodeJS and MongoDB so flexible as a full-stick developer. - I will make sure that you have a great experience working with me from the first message to the final product. We all want to be treated nicely, don't we? Let's work together to create something great.

I'm a data scientist experienced in applying large language model to generate business value for large enterprises. Whether you're just starting to navigate the world of generative AI, or you are a seasoned veteran, I can help. - Knows Python, NLP, data science, large language models, chatbots, and prompt engineering - Full project management from start to finish - Communication is important to me to align the work with your business needs, so let's keep in touch.

⚙️ 10+ years building production-ready AI systems & secure blockchain applications I’m a Senior AI Engineer, Machine Learning Engineer, and Blockchain Developer with 10+ years of hands-on experience building production-ready AI systems and secure blockchain applications. I work with startups and businesses that need real implementations, not experiments — from ChatGPT-powered AI automation and custom ML models to Solidity smart contracts and Web3 integrations. 📌 What I actually do day-to-day 💻 AI / Machine Learning • ChatGPT & OpenAI API integrations (custom chatbots, assistants, automation) • LLM systems: RAG, vector databases (Pinecone, FAISS), embeddings • NLP, document intelligence, and computer vision solutions • Model training, evaluation, and deployment (TensorFlow, PyTorch) • Python-based ML pipelines and backend APIs (FastAPI, Django) 🔗 Blockchain / Web3 🔹 Smart contract development with Solidity (ERC-20, ERC-721, ERC-1155) 🔹 NFT utilities, DeFi logic, staking, and tokenized systems 🔹 Web3 integrations (Web3.js, Ethers.js, MetaMask) 🔹 Secure on-chain / off-chain system design and best practices 📍 How I work 🟦 clarify the problem first 🟦 design a clean, scalable architecture 🟦 build, test, and deploy systems that hold up in production I’ve spent years working on AI/ML systems and blockchain platforms where reliability, security, and maintainability matter. 🛠 Tech stack (core) • AI / ML: Python, ChatGPT, OpenAI API, LLMs, RAG, TensorFlow, PyTorch, NLP • Blockchain: Solidity, Smart Contracts, Web3.js, NFTs, DeFi, EVM • Backend: FastAPI, Django, REST APIs • Infrastructure: Docker, Cloud deployment, production monitoring 📨 Who should contact me • You need an AI Engineer or Machine Learning Engineer who understands production • You need a Blockchain / Solidity Developer who writes secure contracts • You want one senior engineer who can connect AI + Web3 properly If that sounds like your project, send me a short description and I’ll respond with a clear technical plan and next steps.