Summary
Alejandro Montoya is a Data Engineering Manager and physics-trained applied mathematics candidate with 11+ years building AI and data platforms across academia, startups, and enterprise. He combines deep technical strengths in feature engineering, statistical modeling, machine learning, and Python/R development with a proven track record of creating data teams, roadmaps, and production-grade data products from scratch. His work spans EEG research and emotion-mapping to agrotech computer vision and cloud-scaled analytics, showing an unusual ability to translate academic research into operational solutions. A pragmatic leader and mentor, he excels at empowering teams, customer-facing engagements, and embedding data culture across organizations. Outside work he balances academic curiosity with hands-on tinkering—coaching, cooking, gaming, and walking his dog Tesla.
10 years of coding experience
5 years of employment as a software developer
Máster en Matemáticas Aplicadas, Applied Mathematics, Máster en Matemáticas Aplicadas, Applied Mathematics at Universidad EAFIT