Nicolas Macedo

Developing Machine Learning and NLP solutions to automate and classify institutional requests. Implementing BERT/Transformer and PyTorch models for text classification, REST APIs, and AI agents with MCP architecture.

Supporting training of specialized educational support teachers in using LLMs and Generative AI. Teaching hands-on classes and preparing educational materials for inclusive education.

Simulating artificial neural networks with varied topologies using the Hodgkin–Huxley model. Identifying structural and functional hubs and analyzing their influence on network dynamics.

Developing an end-to-end automated Python pipeline for biological curation of camera-trap records from the Amazon. Implementing object detection, zero-shot classification, and photogrammetry techniques.

Promoting responsible use of AI in education through talks, workshops, and training. Providing classroom support to teachers using Generative AI tools for inclusive education.

Helped students with theoretical concepts and hands-on programming activities. Contributed to preparation and grading of exercises and assessments.

Designed and taught basic electronics and Arduino robotics classes, encouraging programming logic and circuit assembly skills.

Pursuing a Bachelor of Science in Computer Science, currently in the 8th semester with expected graduation in 2026.

Completed the Python Fundamentals: From Basics to AI Applications course.

Completed the Game Development course.