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73 followers · 3 following

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Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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pedmil/README.md

Pedro Milhazes Pinto

Machine learning engineer focused on recommender systems, ranking, and personalization.

Most of my recent professional work is not publicly available, so this profile is a curated record of public projects from different stages of my career. Repository names are intentionally explicit:

  • coursework-* contains university work preserved for historical context.
  • learning-* contains early self-directed learning projects.
  • experiment-* contains exploratory or incomplete work.

Together, these repositories document the breadth and progression behind my current work. Older projects are preserved as historical records and reflect the context in which they were created.

Personal website · LinkedIn

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  1. coursework-evolutionary-neural-architecture coursework-evolutionary-neural-architecture Public

    University coursework using multi-objective genetic algorithms to optimize neural-network architectures.

    Python

  2. coursework-parallel-matrix-computing coursework-parallel-matrix-computing Public

    University coursework benchmarking matrix operations with C++, OpenMP, and CUDA. Preserved as historical work.

    C++ 1

  3. coursework-ant-colony-tsp coursework-ant-colony-tsp Public

    University coursework applying ant colony optimization to the traveling salesperson problem. Preserved as historical work.

    Jupyter Notebook

  4. coursework-stack-overflow-data-processing coursework-stack-overflow-data-processing Public

    University coursework querying large Stack Overflow XML datasets in C and Java.

    C

  5. experiment-olx-alert-bot experiment-olx-alert-bot Public

    Historical OLX alert bot using web scraping and Messenger integration.

    Python

  6. learning-deep-rl-doom learning-deep-rl-doom Public

    Early learning project exploring deep reinforcement learning for automated Doom gameplay.

    Python