CV
Find my complete and detailed Curriculum Vitae on the left side and my very concise and brief Curriculum Vitae here on the right side.
General Information
| Full Name | Kimberly Grace Sevillano Colina |
| Languages | English, Spanish, French (basic) |
Education
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2022 - 2024 Msc in Signal and Image Processing with specialization in Computer Vision and Robotics (VIBOT)
University of Burgundy, Burgundy, France -
BSc in Electronics Engineering
National University of Engineering (UNI), Lima, Peru
Additional Education
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May. 2021 MITx MicroMasters in Statistics and Data Science
Funded by Aporta as part of the Advanced Program in Data Science & Global Skills - The program provided MIT’s rigorous, high-quality curricula. It lasts 18 months, with courses about data science, statistics and ML.
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Sep. 2020 BI MASTER - Business Intelligence Master
Laboratório de Inteligência Computacional Aplicada, Rio, Brasil - Postgraduate diploma focusing on Artificial Intelligence (AI), Machine Learning, Big Data, Python and Statistics.
Experience
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02/24 - 09/24 Research Internship (Master thesis)
CNRS-AIST JRL (Joint Robotics Laboratory), IRL, Tsukuba, Japan - Conducted research on integrating dual-fisheye and color-depth vision for real-time, full-scale spherical image depth imaging. This work focuses on key areas like 3D vision and computer vision, leveraging neural network training for depth prediction in robotic environments.
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09/21 - 09/22 Data Intelligence Specialist
Ferreyros S.A., Lima, Peru - Part of the analytics and reportability team that is responsible for processing, analyzing and modeling mining equipment health data using A.I.
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05/21 - 09/21 Computer vision Engineer/Internship
TECH INNOVATION S.A.C., Lima, Peru - Collaborated in a team to develop real-time object detection systems for automatic identification of bags on conveyor belts.
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01/21 - 03/22 Research Leader - Computer Vision
Lab Smart Machines CTIC-UNI (Information Technology and Communications Center), Lima, Peru - Team leader of the Rover farmer project (Berry-bot), in charge of the detection of pests and diseases in the crop (blueberries).
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07/19 - 01/21 Electronic researcher
INAIGEM (National Institute for Research in Glaciers and Mountain Ecosystems), Huaraz, Peru - Developed an electronic prototype that detected avalanches' sound in real-time with A.I. algorithms.
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05/18 - 05/19 Research Internship
INICTEL-UNI (National Institute of Research and Training in Telecommunications), Lima, Peru - Member of the team where a method of segmentation and measurement of areas covered by water palm in aerial images acquired by drones or UAV.
Honors & Awards
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2023 UBFC International Masters Merit Scholarship
University of Burgundy - Awarded a merit scholarship for ranking in the top three of the first year in the VIBOT Master program.
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2022 Scholarship for the "Alberto Benavides de la Quintana - French Embassy 2022" [top 4\%]
Patronato UNI and French Embassy - Winner of the "Alberto Benavides de la Quintana - French Embassy 2022" master’s scholarship.
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2021 QING Innovation Track - Competition for Climate Adaptation in Food Systems
QING and Wageningen University & Research (WUR) - As part of Team Berry-bot we won funding and obtained the top 5 of the Qing Innovation track (Netherlands).
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2021 Scholarship for the ”Advanced Program in Data Science & Global Skills”
Aporta - BREIT and MIT - Winner of a scholarship for the ”Advanced Program in Data Science & Global Skills”, hosted by MIT and Aporta.
Technical Strengths
- Software : Machine Learning Frameworks (PyTorch, TensorFlow/Keras, Scikit-learn), Python, C/C++, OpenCV, VISP, libPer, ROS, MATLAB, SQL, LaTeX, Eagle, LTspice, Proteus, Power BI.
- Hardware : Electronic instrumentation, Jetson Nano, Raspberry Pi, Arduino Platform, ESP32.
- Key Competencies : Computer Vision, 3D/4D Reconstruction, SLAM (Simultaneous Localization and Mapping), Point Cloud Processing, GANs (Generative Adversarial Networks).
- Development Tools : Git, Linux.