CV
About
AI & Machine Learning Engineer. Currently building ML systems at Spradley AI and Contimo. MSc Eng. in AI & Algorithms at DTU. Based in Copenhagen.
migueloliveir8@gmail.com · +45 911 516 543 · GitHub · LinkedIn
Path so far
School and work, most recent first.
- 2026–present
CTOSpradley AI, Employee Research PlatformAI-moderated employee research platform. Replaces the classic engagement survey with structured AI interviews that go deep on the why behind a number, and turns thousands of conversations into themes and signals leadership can act on. EU-hosted, GDPR and EU AI Act aligned. Technical lead across the interview agent, the analysis pipeline, and the product.
- LLM orchestration for structured interviews; vector retrieval over org-specific context to keep each conversation grounded in the company's own language.
- Async analysis workers turning raw transcripts into themes, signals, and reports.
- 2026–present
AI/ML EngineerContimo, RTB Advertising PlatformML for an RTB / native advertising platform serving publishers, brands, and agencies. Work spans editorial-side content selection and campaign-ops monitoring.
- Pulse: trending-content discovery for publishers. AI pipeline ranks top articles and generates localised headlines across languages.
- Campaign Alerts: real-time campaign health monitoring. Delivery forecasting plus anomaly detection on pacing.
- 2025–presentMSc Eng., Artificial Intelligence and AlgorithmsTechnical University of Denmark (DTU)
MSc in Copenhagen. Coursework in deep learning, optimisation, probabilistic models, and algorithm design.
- 2025–2026
AI/ML Software EngineerRevenya, Investment BankingML systems for corporate lending and real-estate analysis. Production focus: reproducibility, auditability, and correctness of model outputs feeding lending decisions.
- GroundTruth: multi-agent real-estate market intelligence. Autonomous research, analysis, and PDF report generation.
- Credit-scoring pipeline automating risk assessment for ~$2M projected monthly loan volume. Approval times: days → minutes.
- 2024–2025
AI/ML EngineerNapps, E-commerce PlatformOwned the AI side of a no-code app builder for e-commerce. Shipped recommendation, automation, and lead-scoring systems on an AWS MLOps stack.
- Hybrid Graph Neural Network recommendation engine for real-time personalisation.
- AWS MLOps pipeline with automated CI/CD for model training and deployment.
- LangChain agentic workflow parsing unstructured e-commerce data for client onboarding.
- NLP-driven lead-scoring system prioritising high-intent leads.
- 2023–2024
Erasmus+ ExchangeUniversity of Hradec Králové (FIM)Semester abroad at the Faculty of Informatics and Management. Software engineering and AI coursework in English.
- 2021–2025
BSc in Computer SciencePorto Polytechnic Institute of Engineering (ISEP)Four-year programme in computer science. Core CS plus ML, software architecture, and systems work.
- Capstone: dual-model recommendation architecture (Temporal Graph Networks + evolutionary-optimised KNN). Later published at ICITS'26.
- Coverage: data structures, OS, networks, databases, software architecture, ML.
Publications
- 2026A Dual-Model Architecture for E-commerce Recommendation SystemsICITS'26 (Springer Proceedings)
Context-aware dual-model: Temporal Graph Networks for discovery, evolutionary-optimised KNN for comparison.
Graph Neural Networks · Recommendation Systems · Optimisation
Certifications
Machine Learning Specialization, Stanford & DeepLearning.AI (2025)
Awards
- 2020European Jiu-Jitsu Champion
European Champion title.
- 20231st place, Kaggle Counter-Strike Sticker Market Forecasting
Winning model on a volatile virtual-item market.