Jadiel De Armas
Principal Data Scientist
Orlando, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolJadiel De Armas is a Principal Data Scientist with 13 years of experience building end-to-end ML and AI systems across NLP, computer vision, recommender systems, time series, and sensor fusion. He has led projects from research to production at organizations including HCA Healthcare, Intuit, and The Walt Disney Company, combining deep learning theory with practical inference optimization. A strong math background and research experience in distributed, parallel, and highly available scientific computing inform his work delivering scalable, low-latency solutions. He mentors engineers, contributes to open source (notably backend work on the videoflow project for high-throughput video analysis), and has a knack for turning complex signal- and sequence-processing problems into robust, production-ready pipelines. Based in Orlando, he is also a quantum computing enthusiast who blends curiosity-driven research with pragmatic engineering.
13 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Arizona State University
English, Greek, Spanish
Stackoverflow
8,595reputation
4.6mreached
48answers
70questions
pytorch
top-1%
tensorflow
top-5%
serialization
top-1%
deep-learning
top-1%
python
top-5%
numpy
top-5%
Github Skills (25)
algorithm10
algorithms10
pytorch10
python10
video-processing10
python-multiprocessing10
data-structure10
serialization10
deep-learning10
data-structures10
multiprocessing10
multi-process10
multidimensional-arrays9
network-programming9
numpy9
Programming languages (4)
Github contributions (5)
videoflow/videoflow
Apr 2019 - Jan 2022
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 releases, 1 review, 460 commits in 2 years 9 months
Contributions summary:Jadiel's commits primarily focus on developing and refining the back-end infrastructure of the video processing framework. Contributions include implementing core algorithms for video analysis, such as flow calculations, cycle detection, and topological sorting. The user also worked on low-level networking components to efficiently transmit data, including a new module to send numpy arrays over sockets. Furthermore, the user reorganized code structures and implemented the underlying task-based execution environment.
multiprocessingpythonvideo-processingvideo-analyticsvideo-pipeline
videoflow/videoflow-contrib
May 2019 - Apr 2020
Videoflow community contributions
Contributions:9 releases, 168 commits, 59 PRs in 10 months
community-contributions
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