Summary
Alwyn Lopez is a Machine Learning Engineer and Data Scientist with 10 years of experience building production ML systems and data-driven solutions across finance, audio analytics, and enterprise software. Based in the New York City area, he has shipped cost-saving infrastructure like an in-house transcription service that cut monthly expenses by up to $10,000 and built high-accuracy models such as a speaker age detector (F1 93%) and a low–false-discovery brand detection pipeline. His background blends applied mathematics training from Waterloo with practical data engineering and ML engineering certifications, enabling him to take projects from prototype to scalable deployment. Earlier roles span software development, internationalization, and STEM instruction, reflecting a knack for clear communication and cross-functional collaboration. Notably, he has experience authoring tooling (mlspear) and optimizing legacy systems, showing both curiosity for low-level implementation and an eye for operational impact.
10 years of coding experience
5 years of employment as a software developer
Data Engineering, Data Engineering at Platform by Per Scholas
Machine Learning Engineering, Machine Learning Engineering at Springboard
Bachelor of Mathematics, Honours Applied Mathematics, Bachelor of Mathematics, Honours Applied Mathematics at University of Waterloo