Leonardo聽Agis
Lead Machine Learning Engineer at Tryolabs
Uruguay
Summary
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Rockstar馃帗
Top SchoolLeonardo Agis is a Lead Machine Learning Engineer based in Uruguay with 4+ years building production-grade ML solutions and leading teams at Tryolabs. He combines a strong electronics and electrical engineering background (MSc) with hands-on experience in deep learning, tabular models, pricing and clustering, and generative LLM integrations, emphasizing CI/CD and monitoring for robust deployment. Known for mentoring engineers and translating complex technical ideas for stakeholders, he drives projects that turn data into measurable business value. Fluent in Spanish and proficient in English, he also brings practical signal-processing roots from early research on cochlear-implant patient data鈥攁n atypical intersection that informs his pragmatic approach to model design and evaluation.
4 years of coding experience
4 years of employment as a software developer
Masters, Master of Science in Electrical Engineering, Masters, Master of Science in Electrical Engineering at Universidad Cat贸lica del Uruguay
Spanish, English
Github Skills (10)
re-identification10
detector10
object-tracking10
tracking-algorithm10
video-tracking10
kalman-filter10
pose-estimation9
multi-object-tracking9
object-detection9
python8
Programming languages (1)
Github contributions (2)
Denkami/mlops-on-gcp
May 2024 - May 2024
Contributions:1 release, 1 tag in 1 day
tryolabs/norfair
Apr 2022 - Aug 2022
Lightweight Python library for adding real-time multi-object tracking to any detector.
Contributions:1 PR, 8 pushes, 3 branches in 4 months
pythonre-idreal-timeobject-detectiondetector
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