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Achievement: YOLOAchievement: Pull Shark

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Seblessa/README.md

About Me

I’m Sebastião Santos Lessa, a Generative AI and Machine Learning Engineer based in Porto, Portugal 🇵🇹.

I build GenAI systems that connect LLMs, backend services, cloud infrastructure, and enterprise workflows. My work includes conversational agents, agentic workflows, tool calling, Retrieval Augmented Generation, and AI powered automation.

I am particularly interested in how AI agents reason, use tools, manage context, and execute complex workflows.

Alongside GenAI, I work on machine learning and data science projects. My public projects cover areas such as time series forecasting, reinforcement learning, and applied machine learning.

Research Interests

My academic work focuses on time series analysis and forecasting, particularly foundation models for time series, anomaly detection, synthetic data generation, imputation, and energy systems.

I enjoy working where research meets engineering, combining experimentation with practical applications.

Research

I authored a peer reviewed paper presented at IEEE PowerTech 2025, focused on foundation models for time series imputation in energy systems.

📄 Read the paper on IEEE

Education

🎓 MSc in Artificial Intelligence
FCUP and FEUP, University of Porto

🎓 BSc in Artificial Intelligence and Data Science
FCUP and FEUP, University of Porto

Terminal and Shell Theme

🖥️ For my command line interface, I prefer using the Hyper terminal with the zsh shell and the PowerLevel10k theme.

Configurations hyper.js zshrc p10k.zsh

Stats

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Languages and Tools

Languages and tools

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  1. Hackathon-2023 Hackathon-2023 Public archive

    Winner project on Hackathon (challenged proposed by Critical Techworks in the 2022/2023 Update organized by NUCC (Núcleo de Ciência de Computação da Faculdade de Ciências da Universidade do Porto)).

    Python 3

  2. BiPedalWalkerAgent BiPedalWalkerAgent Public archive

    Assignment for Introduction to Intelligent Autonomous Systems, 3º year, 1º semester, Bachelor in Artificial Intelligence and Data Science.

    Jupyter Notebook 1 2

  3. Lung-Cancer-Study Lung-Cancer-Study Public archive

    Laboratory of Artificial Intelligence and Data Science Class, 3º Year, 1º Semester. Project 1 - Lung Cancer Classification using Computerized Tomography (CT) Data

    Jupyter Notebook 4

  4. UrbanSounds UrbanSounds Public archive

    Assignment for Machine learning II, 3º Year, 1º Semester , Bachelor in Artificial Intelligence and Data Science.

    Jupyter Notebook 2