Summary
Haroldo Lora is a Staff Machine Learning Engineer with 8 years of experience building production ML systems that drive revenue and operational efficiency across retail, logistics, and fintech. At Kraft Heinz he architected ForeKraft, a global forecasting framework, instituted MLOps standards, and led a distributed team to improve forecast accuracy and cut infrastructure costs. His prior roles at Mercado Libre and Rappi produced revenue-critical recommenders, pricing experiments, and low-latency ranking pipelines that delivered double-digit business uplifts. He combines an electronics engineering foundation with advanced CS training at Georgia Tech to bridge signal-level thinking and cloud-scale ML engineering. Notably, he has turned domain-specific forecasting (maritime emissions, demand planning) into scalable commercial capabilities, demonstrating a rare mix of product impact and systems-level rigor. Based in Toronto, he excels at operationalizing models end-to-end—from feature pipelines and sequential experimentation to SLA-driven production reliability.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Visiting Student (Non-Credit Exchange), Biomedical Engineering, Visiting Student (Non-Credit Exchange), Biomedical Engineering at Politecnico di Milano
Bachelor of Science - BS, Electronics Engineering, Bachelor of Science - BS, Electronics Engineering at Universidad del Norte
Spanish, English, Italian