Professional Overview
I'm a Computer Vision Engineer and Data Scientist with 6+ years of experience. I extract useful data from images and videos using Deep Learning models, such as CNNs, RNNsand Transformers, written in Python/PyTorch. By applying my knowledge in video analytics andcloud/edge computing, I'm able to create real-time analytics for a variety of purposesI've been working with multicultural teams from different countries to implement a variety of videoanalytics systems. One particular system that is worth mentioning is real-time CCTV analytics thathelped a company identify and treat unsafe acts inside its factories. That specific case helped thecompany to become a safer place for its workers.In a fast-paced work environment, I'm able to quickly craft a proof of concept or prototype to asolution. This helps me to clearly communicate with stakeholders and set clear expectations. I feelcomfortable working with multicultural teams, solving problems and researching new trends to stayup-to-date with new AI/ML advances. In general terms, I really enjoy learning new skills and sharingmy knowledge to enable the team to better perform.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
