Hire the Best Machine Learning Engineers
in Portugal

Expert-Vetted on Upwork (Top 1%). Fractional CTO and AI engineer. 15+ years building search systems, ML platforms, credit engines, and recommendation systems across biotech, fintech, and martech. The implementation layer is getting cheaper every quarter. Judgment about what to build, when, and with what tradeoffs has gotten more valuable. That's where most of my time goes now. 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 • Help you decide what's worth building • Help you scope it without painting yourself into a corner • Take the technical side off your plate for a while 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 • I'll tell you not to build it if it's not worth building • I push back, and I expect you to push back on me • I take responsibility, and I expect the authority that goes with it 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝘄𝗼𝗿𝗸 • Medical-legal document extraction. Owned architecture, build, and the calls about what to automate vs leave to humans. Weeks of analyst review compressed to minutes. The interesting problems weren't the AI ones. • Scientific AI platform for biotech R&D. Took a working PoC to a system the team actually relies on. Parser reliability, confidence calibration, CI/CD benchmarking. • AI-assisted event marketplace. Backend architecture, payments, AI planning assistant. • Domain-adapted speech recognition for spacecraft operations. Real-time voice-loop capture, indexed searchable transcripts, deployed across multiple missions. • Personalized footwear production pipeline. Parametric CAD + automated manufacturing instructions. 2 days → 30 minutes per pair. Made the unit economics work. 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁𝘀 • Initial Fit Call — free. 30-min call + follow-up memo with 2–3 ranked next steps. • AI Product Audit & Roadmap — from $7k, ~2 weeks. Pressure-test scope, architecture, stack, failure modes, team shape. • Fractional CTO — custom, usually 10–20 hrs/week for 3–6 months. I own architecture, technical direction, and execution quality. Stack often includes: Python/FastAPI, TypeScript/React/Next, Postgres, GCP/AWS, OpenAI/Anthropic, RAG, vector search.

Hey! I'm Mike, top 1% AI developer and machine learning engineer. In short, you’ve found your best AI partner, I helped more than 200 companies in fintech, healthcare, real estate and e-commerce to scale faster without scaling headcount. Want to start small? Book a consultation to see how I can turn your missed opportunities into revenue. Working with me means you’ll go away with revenue ready and production grade AI systems for SaaS, healthcare, real estate and fintech businesses. What I build: ✅ AI Agents & AI Chatbots – Python-based chatbot development with conversational AI that connects to your CRMs, APIs, and internal tools. Real automation, not just chat interfaces. MCP integration. Whether you need a sales agent, support bot, or an AI agent handling complex multi-step workflows — I build systems that actually work. ✅ AI Voice Bots – Phone agents for restaurants, hospitality, and service businesses. 24/7 availability with reservation and support capabilities. ✅ LLM RAG Systems – Machine learning-powered document search for contracts, knowledge bases, and internal data. Built on retrieval-augmented generation (RAG) for accurate, grounded answers from your own data. ✅ AI Co-pilots – Internal tools for finance, operations, and customer support teams. Think GPT-4-powered assistants with prompt tuning tailored to your workflows. ✅ SaaS AI Products & MVPs – Full stack AI developer expertise from architecture to first paying users. Complete web developer capabilities for end-to-end AI applications. I handle everything from full stack app architecture and REST API design to frontend builds in React and Next.js — so you get a complete product, not just a backend. ✅ Machine Learning Solutions – Time series forecasting, recommendation engines, fraud detection, and data science implementations. Recent case studies: - AI Healthcare Recommendation Engine – Python-based machine learning system helping UK patients search, compare, and book medical services by price, location, and availability. - AI CFO for Small Businesses – AI chatbot that connects to financial tools, surfaces insights, and runs business scenarios automatically. A great example of what a skilled AI developer can deliver for finance teams. - AI Travel Concierge – Multi-step AI agent handling flight/hotel search with business logic and booking-ready outputs. Built by an experienced chatbot developer with deep knowledge of conversational AI flows. - Restaurant AI Voice Bot – 24/7 phone AI agent built with Python that handles reservations via API, reducing missed calls. - AI Document Analysis (Legal/Mortgage) – Machine learning pipeline that reads complex documents, extracts data, and flags issues for compliance. Tech Stack: ✅ AI & Machine Learning OpenAI (GPT-4/4o/o1/o3), Claude, Gemini, LangChain, LlamaIndex, LangGraph, RAG, LLM RAG, MCP, vector databases ✅ Python Development Python, FastAPI, scikit-learn, pandas, NumPy, PyTorch/TensorFlow for machine learning. I write clean, well-structured Python code that's easy to maintain and scale — not the kind of spaghetti scripts you inherit from someone's side project. From Python scripting and automation to building full Python backends with async support and proper error handling, this is where most of my work lives. ✅ Chatbot Development & Voice AI Conversational AI, AI agents, chatbot developer tools, prompt tuning, Twilio, VAPI, Ultravox, WhatsApp, Telegram, web chat widgets ✅ Full Stack & Web Development Python backend, Node.js, React, Next.js, REST APIs, Stripe integration. I'm comfortable owning the full stack — database schema, backend logic, API layer, and a clean frontend. Whether it's a full stack web app from scratch or plugging AI into an existing product, I can take it from Figma to deployed. That includes full stack integrations with third-party tools, auth flows, dashboards, and anything else that makes a product actually shippable. ✅ Data Science & ML Time series analysis, recommendation systems, fraud detection, analytics dashboards (Streamlit, Dash) ✅ DevOps & Cloud Docker, AWS, GCP, CI/CD pipelines for AI products ✅ Security & Compliance GDPR-friendly architectures, PII handling, on-prem/VPC deployments for enterprise Not sure where to start? Book a consultation and let's turn your AI idea into reality! 100% job success. See client reviews!

I’m an AI and Machine Learning Engineer working across Machine Learning, Deep Learning, and modern AI systems. I focus on building practical, data-driven solutions using machine learning models, neural networks, and Large Language Models (LLMs). My work covers the full lifecycle of AI solutions - from data preparation and feature engineering to model training, evaluation, and deployment-ready workflows. I have experience working with both structured and unstructured data, applying classical ML as well as deep learning approaches depending on the problem. I’m especially interested in applied AI, where models are used to solve real business and product challenges, not just experimental or academic tasks. AREAS OF EXPERTISE: - Machine Learning and Data Science - Deep Learning and Neural Networks - Large Language Models (LLMs) and Generative AI - Prompt Engineering and Retrieval-Augmented Generation (RAG) - Natural Language Processing (NLP) - Computer Vision and Object Detection - Data Analysis, Feature Engineering, and Model Optimization TECH STACK: Programming & ML: Python, pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow, Hugging Face Transformers LLMs & AI Tools: OpenAI API (GPT, ChatGPT), LangChain, LlamaIndex, PromptFlow, Embeddings, Vector Databases Computer Vision: YOLO, CNNs, image classification, object detection Data & Visualization: Power BI, Tableau, Matplotlib, Seaborn Databases & Storage: PostgreSQL, MySQL, NoSQL databases, FAISS, Weaviate Version Control: cGit, GitHub KEYWORDS: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Networks, Natural Language Processing (NLP),Computer Vision, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Transfer Learning, Generative AI, Large Language Models (LLMs), Data Science, Feature Engineering, Model Training, Hyperparameter Tuning, Overfitting & Underfitting, Model Optimization, Explainable AI (XAI), AI Ethics, AI Bias, Fairness in AI, AI Governance, Responsible AI, Prompt Engineering, Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought (CoT), Self-Consistency Prompting, Instruction Tuning, Retrieval-Augmented Generation (RAG), Prompt Optimization, Context Length, System Prompt, Temperature (AI Sampling), Top-k & Top-p Sampling, Token Limit, Embeddings, Fine-tuning, Hallucination (AI-generated misinformation), Prompt Injection, Role-based Prompting, Meta-Prompting, AI-assisted Writing, LLM APIs, OpenAI (GPT, ChatGPT), Google Gemini (formerly Bard), Meta LLaMA, Anthropic Claude, Hugging Face, TensorFlow, PyTorch, LangChain, Vector Databases (e.g., Pinecone, Weaviate, ChromaDB), OpenAI API, PromptFlow, LlamaIndex

Machine Learning Engineer specializing in Natural Language Processing (NLP) and Generative AI (GenAI) with 6+ years of experience. Proficient in Python, machine learning, and deep learning frameworks, building ML- and LLM-powered applications for text analysis, information extraction, named-entity recognition (NER), seq2seq tasks, text generation, computer vision, and autonomous testing. Additionally, experienced in leveraging LLMs for chatbot development using RAG and agentic AI frameworks. Skilled in developing NLP pipelines based on BERT and GPT (Llama, Mixtral, OpenAI) architectures, utilizing frameworks such as PyTorch, TensorFlow, NLTK, Gensim, Hugging Face transformers, and LangChain. 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 🚀 ✅ Data Science, Data Analysis ✅ Machine Learning & Deep Learning ✅ Natural language processing (NLP, NLU, NLG) ✅ Large Language Models (Llama, Mixtral) ✅ Generative AI (ChatGPT, Gemini) ✅ Prompt Engineering & RAG ✅ Question-answering systems (Chatbots) ✅ Computer Vision (CNN, ResNet, YOLO) ✅ Databases (MySQL, PostgreSQL, NoSQL) ✅ Web Scraping & Crawling ✅ Clouds (GCP, AWS) 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 ✨ Python, C, C# 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀/𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 💡 PyTorch, TensorFlow, Keras, ONNX Hugging Face Transformers, LangChain, LangGraph LlamaIndex, Open WebUI OpenAI, Boto3 Pandas, Numpy, Scikit-learn NLTK, SpaCy, Gensim, FastText OpenCV, Tesseract OCR FastAPI, Flask 𝗗𝗲𝘃𝗢𝗽 𝘁𝗼𝗼𝗹𝘀 🛠️ Docker, Git, Linux

Having 10+ years of experience, I’m working as an AI/ML Engineer at DME. I am also enrolled as PhD student enrolled in Computer Engineering at University of Aveiro, Portugal under a Marie Skłodowska-Curie Actions (MSCA) fellowship with project SCION funded under Horizon Europe by the European Union's. Previously, I was full-time research scholar (Gen AI) at Università Ca'​ Foscari di Venezia . Furthermore, I worked as a Machine Learning Engineer at AgriDunya Technologies . I served as a full-time Researcher (DL/ML) during my MS studies at Tianjin University , China. I had full-time experience working as a Software Programming Instructor at Directorate of IBA Community Colleges and Schools.I have extensive experience working as a freelancer (Upwork, PeoplePerHour.com, and Fiverr) to support my family and education at the undergraduate level.