Sebastián Arango
Founder at Prognitif
Colombia
Summary
👤
Senior🎓
Top SchoolSebastián Arango is a founder and senior ML engineer with nine years of experience building production-grade AI systems across healthcare, telecoms, and enterprise SaaS. He combines an electronics engineering background and a master's in software engineering to span hardware-aware sensing, large-scale data pipelines, and applied ML—recent work includes multimodal medical imaging and near-real-time inference systems. As Lead ML Engineer at Attention and now at Eden and Prognitif, he has driven model selection, deployment, MLOps, and NLP/audio transcription efforts while designing scalable architectures for clinical and bio-sensing products. He also teaches graduate-level machine learning topics, translating research on unsupervised learning and latent spaces into practical pipelines. Known for integrating applied math and telecoms intuition into data-driven solutions, he contributes to research projects like VIVAMED and the Poets-AI community.
9 years of coding experience
9 years of employment as a software developer
Engineer’s Degree Electrical Electronics and Communications Engineering, Engineer’s Degree Electrical Electronics and Communications Engineering at Universidad de AntioquiaGraduate Diploma Music Informatics, Graduate Diploma Music Informatics at Instituto Tecnológico MetropolitanoMaster's degree Computer Software Engineering, Master's degree Computer Software Engineering at Universidad EAFIT
Spanish, English, Italian
Github Skills (33)
deploying7
api7
deep-learning6
huggingface6
aws6
amazon6
machine-learning6
python6
application5
rapid-development5
tensorflow5
sagemaker5
machine-learning-models5
api-rest5
pytorch5
Programming languages (5)
Github contributions (5)
sebasarango1180/mdsets
Oct 2021 - May 2022
A Python (and CLI) tool for unified medical dataset retrieval
Contributions:3 reviews, 26 commits, 10 PRs in 7 months
pythondatasetcli-toolretrievalmedical
sebasarango1180/student_face_classifier
Nov 2017 - Dec 2018
Final project for AI subject course - UdeA. Using face classification to determine if someone is allowed or not.
Contributions:1 release, 4 PRs, 16 pushes in 1 year
pythonsubjectdeep-learningudeamachine-learning
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