Diego Mejía
Machine Learning Engineer at Universidad de los Andes
Bogota, RAP (Especial) Central, Colombia
Summary
👤
Senior🎓
Top SchoolDiego Mejía is a Machine Learning Engineer and biomedical engineer with eight years of experience blending computational modeling, medical imaging, signal processing, and software prototyping to support clinical and public-health decision making. He holds an MSc in Biomedical Engineering, is completing a biology degree thesis, and is pursuing a PhD in Engineering at Universidad de los Andes, where he has contributed as a researcher and graduate teaching lead. His projects include ML-driven taxonomic classification of short DNA reads and epidemiological modeling for COVID-19 that informed municipal decisions, demonstrating applied research that reaches stakeholders beyond academia. Comfortable across programming, ML, and physiological systems modeling, he pairs technical depth with teaching and customer-facing problem solving in multidisciplinary teams. A subtle strength is his hands-on bridging of prototyping and deployment: turning research code into visualizations and tools used by decision makers. Based in Bogotá, he also brings consultancy experience with cloud services (AWS) and an interdisciplinary perspective spanning electronics, nanotechnology interest, and biomedical domains.
8 years of coding experience
1 year of employment as a software developer
Ph.D. in Engineering, Ph.D. in Engineering at Universidad de los Andes
English, Spanish
Github Skills (33)
aws-glue8
amazon-athena8
emr7
lambda7
aws-lambda7
dynamodb7
neptune7
ray7
aurora6
csv6
timestream6
aws6
athena6
python6
parquet5
Programming languages (2)
Github contributions (5)
Diegofisie/Uniandes_MicroRobots
Mar 2021 - Jul 2021
Contributions:47 commits, 44 pushes, 1 branch in 4 months
Diegofisie/Metodos_tarea4
Nov 2018 - Jan 2019
Contributions:38 pushes, 1 branch in 2 months
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