I'm Lincoln Schreiber, a computer engineer with a Master's in Applied Computing, specializing in Machine Learning.

• 🔭 Currently working with Python, Computer Vision, NLP (LLMs), and Data Engineering/Backend Python.
• 🌱 Learning Game Development (Godot and Unity) and diving deep into Artificial Intelligence.
• ✨ Fun fact: I love everything about games – playing, testing, developing, and translating.

Projects:

• Blue Bird Words. An NLP app using the Twitter API to generate a Wordcloud with hashtags.
• Brazilian Portuguese Translator for:
  • Hugging Face Course 🤗 - github
  • shapez.io - github
  • Unciv - Civ V for Android (+Desktop) - github

Research Papers:

Reinforcement Learning and Explainable AI

• "On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control" at International Joint Conference on Neural Networks (IJCNN) 2022 - Padua, Italy.
• "Towards Explainable Deep Reinforcement Learning for Traffic Signal Control" at LatinX in AI Workshop @ ICML 2021.

Computer Vision

• "A machine learning pipeline for extracting decision-support features from traffic scenes" at CEUR ATT 2022 - Vienna, Austria.
• "Above-ground biomass wheat estimation: deep learning with UAV-based RGB images" at Applied Artificial Intelligence 2022.
• "Biomass estimation of spring wheat with machine learning methods using UAV-based multispectral imaging" at International Journal of Remote Sensing 2022.

AI and Big Data

• "Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing" at: LatinX in AI Workshop @ ICML 2021
• "FastIoT: an efficient and very fast compression model for displaying a huge volume of IoT data in web environments" at IJGUC 2021.

Others

• Co-creator of a chemistry learning object (in Java), with seven publications and seven registered patents.

Be nice!