Summary
Andre Aguiar is a Machine Learning Engineer with a decade of experience building data-driven systems across fintech and social tech, currently improving product pages at Meta by extracting product attributes with deep learning. Trained as an aerospace engineer, he brings strong applied-math and high-performance computing instincts to large-scale data problems, having worked with terabytes of data on credit scoring and complex network analyses. At C6 Bank he designed chatbot infrastructure and deployment pipelines in Go, Terraform and GCP, demonstrating an ability to span model development, infrastructure-as-code, and real-time systems. As a Lead Teacher at Ironhack he distilled core CS and ML concepts into hands-on curricula, evidencing clear communication and mentoring skills. He combines production-first engineering (CI/CD, TDD, IaC) with research-grade modeling and optimization, often improving labeling and model pipelines for measurable gains. Based in London, he blends aerospace rigor with pragmatic software engineering to deliver scalable, performant ML solutions.
10 years of coding experience
5 years of employment as a software developer
Engineer's Degree, Aerospace, Aeronautical and Astronautical Engineering, 3.69 (Dean's List), Engineer's Degree, Aerospace, Aeronautical and Astronautical Engineering, 3.69 (Dean's List) at Arizona State University
Master’s Degree, Ciência e Tecnologia Espacial, Master’s Degree, Ciência e Tecnologia Espacial at Instituto Tecnológico de Aeronáutica - ITA
Bachelor of Engineering (B.E.), Aerospace Engineering, 2.95/4, Bachelor of Engineering (B.E.), Aerospace Engineering, 2.95/4 at Universidade Federal do ABC
Portuguese, English, Spanish