Jacob L
Associate Systems Integration And Test Engineer
Greater Boston United States
Summary
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Rockstar🎓
Top SchoolJacob L is an Associate Systems Integration and Test Engineer with six years of hands-on experience in controls, SCADA, PLC logic, and HMI development, currently working at Lockheed Martin after internships with Inteplast Group and Multi-Dimensional Integration. A Rutgers School of Engineering Honors student in electrical and electronics engineering, he has built control software for manufacturing systems and delivered Ignition-based SCADA for defense vehicle production. He also contributes to open-source ML tooling, adding dataset preprocessors and joint-mapping updates to the well-known OpenMMLab mmhuman3d project, showing versatility across controls and data engineering. Practical and detail-oriented, Jacob bridges lab-scale algorithms and industrial automation, often bringing clean preprocessing and integration practices from ML into systems testing. Based in Greater Boston, he combines academic honors with industrial delivery on complex, safety- and mission-critical systems.
6 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Rutgers University–New Brunswick
Github Skills (7)
data-preprocessing10
machine-learning10
python10
numpy9
computer-vision9
scikit7
scikit-learn7
Programming languages (3)
Github contributions (5)
open-mmlab/mmhuman3d
Jul 2021 - Oct 2022
OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 6 commits, 6 PRs in 1 year 2 months
Contributions summary:Jacob primarily focused on data preprocessing and integration within the mmhuman3d project. They added data preprocessors for multiple datasets, including H36M, COCO2014, 3DPW, MPII, and MPI_INF_3DHP. Further contributions involved updating the joint mapping conventions and testing the preprocessing pipelines with generated sample data. The user also updated the version of the project.
pytorchstructure-from-motionfeature-matchingdeep-learningparametric
Liuxinyue521/a
Oct 2019 - May 2020
Contributions:3 pushes, 1 branch in 6 months
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