- š Hi, Iām Jackey, a former medical device software engineer. Previously, I successfully contributed to developing the world's first active magneticācontrolled medical capsule robotic endoscope system.
- š I have 10+ years of experience specialising in mathematical algorithms and software development with a comprehensive background in computer technologies, mastering multiple programming languages, platforms and frameworks. I am skilled in computer architecture and operating system knowledge, e.g. multiāthreading and multiprocessing, asynchronization, memory management, modern C++, Python, OOP Design, mathematical algorithms, machine Learning and deep Learning. I am also into AI Systems.
- š In terms of my personality, I'm openāminded, creative, diverse, and keeping pace with cuttingāedge technologies. I'm interested in devising a better problemāsolving method for challenging tasks and learning new technologies and tools, if needed.
- š Iām highly interested in mathematics and psychology. I was recognised in a Mathematical Modelling competition, conducted research in Control Theory at university, and earned distinctions in mathematics-related courses. Likewise, I achieved high marks in Machine Learning and Deep Learning subjects within the Data Science discipline. For coding, I mainly use C++ and Python. I'm also interested in machine learning/deep learning systems(AI Systems) and efficient deep learning.
- š± Iām currently learning machine learning/deep learning systems(AI Systems) and how to start contributing to an open-source ML or DL library/Framework.
- šļø Iām looking to collaborate on contributing to an open-source ML or DL library/Framework.
- š« How to reach me: mjjackey1208@gmail.com or mjqwwz@hotmail.com
-
University of Southampton
- Southamption
- in/mjjackey
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Individual_CW2_DS_Soton
Individual_CW2_DS_Soton Public2018-2019 Semester 1 at Soton, individual CW2 of DS
Jupyter Notebook 1
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Individual_CW_DM_Soton
Individual_CW_DM_Soton Public2018-2019 Semester2 at Soton, individual coursework for Data Mining
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Individual_CW_ML_Soton
Individual_CW_ML_Soton Public2018-2019 Semester 1 at Soton, individual CW of ML
Jupyter Notebook
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Mask_R_CNN_in_Fruit_Counting
Mask_R_CNN_in_Fruit_Counting PublicApplications of AI and Computer Vision in Agriculture-Fruit recognition, localization and segmentation
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COMP6248-Reproducability-Challenge/deep_consciousness_conMuliti_Scale_Dense
COMP6248-Reproducability-Challenge/deep_consciousness_conMuliti_Scale_Dense PublicThe Reproducibility Challenge of Multi Scale DenseNet
Jupyter Notebook 2
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DL_Lab_Soton
DL_Lab_Soton Public2018-2019 Semester2 at Soton, lab practice for Deep Learning
Jupyter Notebook 1
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