Nuno Oliveira.
Director of Applied AI at Liminal · Porto, Portugal
I lead the Applied AI team at Liminal, a market-intelligence firm in New York, building agentic AI systems that turn noisy market signals into decisions people can act on. On the side, I teach AI and security at ISEP and run Encontra Carros, a market-data service for used cars in Portugal.
Personal projects
Encontra Carros ↗
Market intelligence for used cars in Portugal. It aggregates roughly 1.7 million listings from the country's major marketplaces, tracks 800+ dealerships, and gives buyers a free price benchmark against the live market. Agentic AI workflows, built on the deepagents harness with OpenRouter models, power the data enrichment behind it.
Next.js · React · Python · scikit-learn · PostgreSQL · deepagents · OpenRouter
Retired
- Monitlog2024 – 2025
AI-powered change monitoring for websites.
- Rocket Scraper2023 – 2024
LLM-powered structured-data scraping API.
Experience
Jan 2024 – now · New York · remote
Liminal
Director of Applied AI
May 2026 – now
Leading the Applied AI team: agentic systems that run in production and become part of how the business operates, not isolated proofs of concept. Partnering with Product, Engineering, and the executive team on where AI moves the business.
AI Solutions Architect
Aug 2024 – May 2026
Owned the architecture of LLM-powered market intelligence across digital identity, fintech, and cybersecurity, from cloud infrastructure to AI modeling and evaluation, and set the development standards. Worked with the CPO and CEO on the product roadmap.
Senior Data Scientist
Jan 2024 – Aug 2024
Designed and shipped Market Monitor: ML pipelines and fine-tuned LLMs turning news, transcripts, and industry reports into actionable alerts. Ran five-plus production models.
Nov 2021 – now · Porto · in parallel with industry roles
ISEP · Porto School of Engineering
Assistant Lecturer
Teaching AI Applied to Cybersecurity and Principles of Secure Computing in the postgraduate programme in Information Security, Cybersecurity, and Privacy.
Jun 2023 – Jan 2024 · Porto
Critical TechWorks (BMW Group)
Senior Data Scientist
Sales analytics steering over $1B in bound working capital for BMW's future sales model, built on machine learning and modern cloud infrastructure.
Jul 2022 – Jun 2023 · Vila Nova de Famalicão
Continental
Data Scientist
Data-driven optimization in manufacturing, validated and rolled out to Continental plants worldwide, with over €1M in identified savings.
Jan 2020 – Jun 2022 · Porto
GECAD
AI Researcher
EU-funded applied research in cybersecurity and manufacturing. Built data-centric systems from requirements to validation, and published the results.
Education
MSc, Artificial Intelligence Engineering
ISEP · 2020 – 2022
Graduated 18/20 with a merit diploma; thesis “ALMA: Algorithm Modeling Application” graded 19/20.
BSc, Informatics Engineering
ISEP · 2017 – 2020
Graduated 17/20 with a merit diploma; thesis “Data Analytics for Security Event Correlation” graded 19/20.
Research & recognition
Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems
Applied Sciences · MDPI · 2021
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Future Internet · MDPI · 2022
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space
Int. Conference on Security of Information and Networks · IEEE · 2021
Deep Learning for Short-Term Instant Energy Consumption Forecasting in the Manufacturing Sector
Distributed Computing and Artificial Intelligence · Springer · 2022
Part of 11 peer-reviewed publications on machine learning for intrusion detection, forecasting, and fake-news detection. More on Google Scholar.
Hackathons
- 1st place · Hackacity Porto 2024 · €3,000 prize
- 2nd place · Hackacity Porto 2023 · €2,000 prize
- 1st place · Aveiro Tech City Hackathon 2022 · €5,000 prize
- 2nd place · Hackacity Porto 2022 · €2,000 prize
Contact
The fastest way to reach me is email: [email protected]