Senior engineer and technology leader. A career across telecom, SaaS, biometrics, identity and passenger information systems. Hands-on with AI and machine-learning systems, from architecture to deployment.
Senior engineer and technology leader building production systems across telecom, SaaS, biometrics, identity and passenger information systems. Currently hands-on in AI and machine learning: ISCTE Postgrad in Applied Machine Learning, plus a personal portfolio of MLOps, agentic and deep-learning systems, all running on a self-hosted, fully on-premises stack of open-source models at logus2k.com. Building, not just managing.
Core Skills
Concepts
Machine Learning, Deep Learning, GenAI, RAG (Vector + Graph), LLMs, Transformers, GANs, Reinforcement Learning, MLOps, Computer Vision, NLP, Time Series, Model Context Protocol (MCP), tool and function calling, agent skills (trigger-based auto-injection), OpenAI-compatible APIs.
Gemma 4 E4B via llama.cpp, Whisper Large v3 Turbo, Kokoro TTS, bge-m3 embedder, bge-reranker-v2-m3 cross-encoder, ArcadeDB graph database, ChromaDB vector database. No cloud-AI API dependencies.
Infrastructure
Linux, WSL2, Docker and Docker Compose, nginx reverse proxy with TLS, Let's Encrypt, dynamic DNS (NoIP), systemd auto-start, ~15+ container production stack at logus2k.com.
Three coordinated services that form a fully on-premises AI agent platform:
agent_server: LLM control plane with an OpenAI-compatible /v1/chat/completions streaming facade. Local models behave as drop-in replacements for cloud APIs, hot-swappable per request via named presets (chat, judge, graph-answer, etc.).
STT: Whisper Large v3 Turbo + Silero Voice Activity Detection over Socket.IO; real-time streaming transcription with multi-client support.
TTS: Kokoro multi-language (English, Japanese, Mandarin, Spanish, French, Hindi, Italian, Portuguese) with WebSocket audio streaming, advanced sentence splitting via spaCy.
scipredictor: multi-label classification across 148 research domainsLive
Multi-label classifier for academic papers across 148 research domains. Independent per-class probability output (no softmax constraint) so an interdisciplinary paper can simultaneously belong to multiple fields, mirroring real research practice instead of forcing a single label. Companion case study using SciBERT for arXiv primary-subject prediction with hierarchical-domain analysis and confidence-based triage of ambiguous cases for human review.
Conditional MNIST generators benchmarked across four loss strategies (BCE, LSGAN, Hinge, WGAN-GP) with identical architectures and FID and KID evaluation. The best-performing model powers a real-time browser game scoring human-drawn vs generated digits via a trained MNIST classifier. Three difficulty levels with time pressure (2.0 s, 1.0 s, 0.5 s).
PyTorch · WGAN-GP · FID and KID · WebSockets.
Multi-step temperature forecasting: GRU vs Transformer
Multivariate-input, univariate-output forecasting study on the Jena Climate dataset (10-minute resolution, 2009–2016). Predicts 24-hour air temperature using GRU and Transformer architectures under controlled conditions: temporal resampling, multi-step windowing, multi-horizon evaluation, hyperparameter exploration. Six input features (temperature, pressure, humidity, wind speed, max wind speed, wind direction), each paired with timestamps.
DQN vs PPO on LunarLander-v3: value-based vs policy-based RL
Comparative deep-RL study contrasting Deep Q-Network and Proximal Policy Optimization in the LunarLander-v3 environment. Identical environment settings and multiple random seeds; analysis combines learning curves, sample efficiency, cross-seed stability and qualitative landing-behavior evaluation from recorded simulations. Covers DQN's overestimation bias, ε-greedy exploration, replay buffer dynamics; PPO's clipping, GAE, and entropy-driven exploration.
FEM execution-strategy benchmark: CPU vs GPU vs JITLive
Same Finite Element Method problem implemented across multiple execution backends (sequential CPU, multi-process and shared-memory CPU parallelism, Numba JIT, Numba CUDA, CuPy with custom raw kernels) under identical numerical formulation, discretisation, boundary conditions and solver. Numerical equivalence preserved across all paths, enabling apples-to-apples comparison of execution behaviour, performance and scalability. Containerised with platform-specific helpers and automatic CPU and GPU fallback.
Convolutional neural network for binary classification of chest X-ray images (pneumonia vs. normal). Full training pipeline with data augmentation, validation, and evaluation by accuracy, precision, recall and F1.
Web-based experimentation environment for classical computer-vision techniques: grayscale and colour-space conversions, resizing, rotation, Gaussian and median blurring, Canny and Sobel edge detection, binary and Otsu thresholding. High-performance aiohttp backend with non-blocking I/O; Socket.IO for real-time browser interaction.
Home-lab production stack: the platform behind the portfolioLive
Personal infrastructure hosting the entire portfolio. ~15+ Docker containers across noted's MLOps stack, the agent stack (STT, TTS, orchestrator), the application gallery and the web frontend. Linux on WSL2, nginx TLS facade with Let's Encrypt, dynamic-DNS public address. Services auto-start at host boot, the site is available even when the developer is signed out.
Fully on-premises AI stack (Whisper, Kokoro, Gemma, bge-m3, bge-reranker, ArcadeDB, ChromaDB), no cloud-AI API dependency.
Head of Discipline Passenger Mobility at Hitachi Rail GTS PT.
Owned product development of APIS 8, APIS 9 and Audio Dispatcher, Hitachi's flagship products for Advanced Passenger Information Systems (real-time multi-channel display and audio across rail networks).
Hands-on development of processes and dashboards for projects, capacity planning, finance-integrated reporting and quality performance metrics.
Successfully recovered multiple legacy projects while driving the previous product generation to a positive end-of-life outcome.
TECH5 · Portugal
2022 – 2023
VP Engineering
Led Engineering and Product teams building biometric identity products (face, fingerprint, iris).
Owned product roadmaps, development and delivery.
Implemented SDLC, roadmap practice and knowledge management from the ground up.
Hiring, management, performance assessment.
Hands-on guidance on product management processes and practices.
Vision-Box · Portugal
2016 – 2020
Chief Digital Officer · 2019 – 2020
Owned technology strategy, innovation and adoption; advised the C-suite and Board on industry direction.
Managed architecture and development (external and internal teams) of Vision-Box's Biometric Check-In CUSS Kiosk, a computer-vision-based biometric pipeline running on embedded hardware.
Represented Vision-Box as a Strategic Partner of IATA; heavily contributed to several IATA Passenger Experience standards, particularly IATA One ID: Technology, Privacy and Identity Management.
Chief Technology Officer · 2016 – 2019
Led Software and Hardware Engineering teams.
Market-leading hardware and software product lines: eGates, kiosks, portable devices, backend platform and customer-facing apps; computer-vision-based face biometric recognition deployed in airports and border posts worldwide.
Architected and led ground-up development of Vision-Box Orchestra Platform: IDaaS biometric-recognition platform that became an industry reference for Seamless Travel in Aviation and Border Control.
Decisively contributed to closing new multi-million-euro contracts.
Represented the company in, or supervised projects across, over 20 countries.
Subject-matter expert at IATA One ID Technical and Privacy groups.
Research & Development Director · 2016
MEO (Altice) · Portugal
2004 – 2016
SBD Team Lead
Led the API Management team (for PT and SAPO) and the GIS and Maps Software teams.
Architected and built Service Delivery Broker: Portugal Telecom's API management platform delivering 40M requests per day to 60+ web, mobile and IPTV apps. Finalist of two Business & Innovation Awards.
Designed systems for high availability, scalability, security, modularity and consistency.
Expanded Portugal Telecom platform to Oi (Rio de Janeiro and São Paulo, Brazil).
TM Forum Software Enabled Services Team Co-Chair. Outstanding Contributor Award for industry-adoption.
Coursework spanning Deep Learning, Generative AI, Reinforcement Learning, Time Series, Computer Vision, NLP and MLOps. Concrete deliverables include the multi-step temperature forecasting study (GRU vs Transformer on Jena Climate), DQN and PPO comparison on LunarLander-v3, SciBERT-based arXiv subject classification, and the conditional-GAN studies, all detailed at logus2k.com.
Coimbra and Lisbon Universities
Law Degree Frequency
Languages
Portuguese: Native
English: Fluent
Certifications
AI, Machine Learning, Data
Building Agentic AI Applications with a Problem-First Approach (Maven)
Deep Learning Specialization (DeepLearning.AI)
Machine Learning (Stanford University)
Data Analyst Professional (Google)
Essential Math for Machine Learning, Python Edition (LinkedIn Learning)
Systems Thinking (LinkedIn Learning)
Architecture, Cloud, Engineering
TOGAF 9.1, Level 2 (The Open Group)
SOA Professional (SOA Systems)
Software & Cloud Architecture (LinkedIn Learning)
Azure Fundamentals (Microsoft)
Software Development Professional (Forino School of New Technologies)
Microsoft Certified Application Developer (Microsoft)
Project Management and Agile
Project Management Professional (Google)
Professional Scrum Master I, Ken Schwaber (Scrum.org)
Scrum Master and Product Owner (Scrum Alliance)
Selected Achievements
Vision-Box Orchestra Platform: Led ground-up development of Vision-Box's IDaaS biometric-recognition platform; became an industry reference for Seamless Travel in Aviation and Border Control.
Service Delivery Broker (Portugal Telecom, SAPO): Architected and built the API management platform; finalist of two Business & Innovation Awards; delivered 40M requests per day to 60+ web, mobile and IPTV applications.
TM Forum Outstanding Contributor Award:"For outstanding performance and lasting contribution on the Software Enabled Services work. António has been a driving force behind several catalysts in this area, lead in industry adoption and spoke on behalf of the TM Forum several times."