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I'm Pablo G Cavalcanti, a PhD in Computer Science and Senior Machine Learning Engineer. My recent focus is on LLM fine-tuning. I have experience across all stages of ML development, from data preprocessing to model evaluation and deployment. Before my current role in the industry, I had more than 10 years as researcher and professor at universities both in Brazil and Canada.…

Pablo G Cavalcanti

Data Scientist, AI Engineer, Data Analyst, +3

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I'm Pablo G Cavalcanti, a PhD in Computer Science and Senior Machine Learning Engineer. My recent focus is on LLM fine-tuning. I have experience across all stages of ML development, from data preprocessing to model evaluation and deployment. Before my current role in the industry, I had more than 10 years as researcher and professor at universities both in Brazil and Canada.…

Available to hire

Waterloo, Canada

I’m Pablo G Cavalcanti, a PhD in Computer Science and Senior Machine Learning Engineer.

My recent focus is on LLM fine-tuning. I have experience across all stages of ML development, from data preprocessing to model evaluation and deployment.

Before my current role in the industry, I had more than 10 years as researcher and professor at universities both in Brazil and Canada.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Portuguese

Fluent

Spanish; Castilian

Advanced

Work Experience

Sr. Machine Learning Developer at NAVBLUE, an Airbus company

August 1, 2022 - Present

Implementation of machine learning techniques across NAVBLUE’s portfolio. Led 2+ years of fine-tuning LLMs to reproduce human annotations, reducing document processing from 20–30 minutes to 2 seconds. Implemented Retrieval-Augmented Generation (RAG) by combining embeddings, index search, and prompt engineering to extract data beyond the scope of human annotators. Deployed models on AWS SageMaker and Bedrock. Built classical ML solutions for structured data, including anomaly detection on multi-dimensional flight data and probabilistic geospatial modeling. As of 2025, nominated Technical Leader to guide strategy and tool choices. Responsible for data organization, transformation, analysis, and visualization.

Visiting Scholar at University of Waterloo

August 1, 2021 - July 1, 2022

Computer vision and machine learning researcher. Fine-tuned Vision Transformer (ViT) models for image segmentation of mineral-extraction videos. Implemented preprocessing and postprocessing for object detection in a machine-vision/robotics project.

Co-founder at VisAI

July 1, 2019 - May 1, 2022

Co-founded a computer-vision startup delivering B2B solutions. Led real-time tools for face detection/recognition, industrial object counting, and poultry monitoring. Edge deployments on NVIDIA Jetson and Raspberry Pi + Google Coral.

Professor at Federal University of Technology – Paraná

February 1, 2015 - July 1, 2022

Taught courses in Computer Engineering and related programs (Image Processing, Computer Graphics, Algorithms, Software Testing). Supervised numerous undergraduate projects in ML, CV, and image processing (sports analytics, background subtraction, pedestrian tracking, leaf disease identification, face recognition). Served as Head of the Computer Engineering program (2016–2019).

Postdoctoral Research Fellow at McMaster University

September 1, 2013 - August 1, 2014

Developed tools for computer-aided image retrieval of CTs: data preprocessing and transformation; CT image segmentation and feature extraction to compute case similarities; designed ranking evaluation metrics.