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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
  
  CTO

  Spradley AI, Employee Research Platform

  AI-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 Engineer

  Contimo, RTB Advertising Platform

  ML 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–present
  
  MSc Eng., Artificial Intelligence and Algorithms

  Technical University of Denmark (DTU)

  MSc in Copenhagen. Coursework in deep learning, optimisation, probabilistic models, and algorithm design.

• 2025–2026
  
  AI/ML Software Engineer

  Revenya, Investment Banking

  ML 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 Engineer

  Napps, E-commerce Platform

  Owned 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+ Exchange

  University 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 Science

  Porto 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

• 2026
  A Dual-Model Architecture for E-commerce Recommendation Systems

  ICITS'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

• 2020
  European Jiu-Jitsu Champion

  European Champion title.

• 2023
  1st place, Kaggle Counter-Strike Sticker Market Forecasting

  Winning model on a volatile virtual-item market.