Summary
Andressa Oliveira is a software developer with 10 years of experience blending applied machine learning research and full-stack/desktop engineering. With an M.Sc. in Computer Engineering from Polytechnique Montréal, she has fine-tuned and deployed computer vision and LLM models (ONNX, Hugging Face, QLoRA) while optimizing hyperparameters with Optuna for production use. Her hands-on work spans C++/MFC and C#/.NET desktop apps, TWAIN scanner integration, and React/Node.js/MongoDB web platforms, reflecting strong cross-stack fluency. She has driven research-industry collaborations—most notably a Llama 2-based bug-severity predictor with Ciena—and routinely adapts models to constrained HPC and GPU environments. Known for clean, test-driven code and clear technical documentation, she excels at closing the gap between research prototypes and robust production systems.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Polytechnique Montréal
Federal University of Rio Grande do Norte
English, French, Portuguese