Qi C

Information Technology Support Assistant

Kuala Lumpur, Malaysia
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Summary

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Senior
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Top School
Qi C is an IT support professional with 11 years of hands-on experience delivering web and hardware solutions from Kuala Lumpur. Currently an Information Technology Support Assistant at Sri Highlands Carriage Services, Qi develops Laravel sites, manages WordPress/Cpanel hosting, and oversees kiosk interfaces and system testing while coordinating onboarding processes. With a background in hardware assembly and OS/software deployment from earlier internships, Qi blends infrastructure troubleshooting with full-stack web work. Academic training in computing and software engineering underpins a curiosity about programming languages and emerging technologies. Qi also explores computational neuroscience concepts—demonstrated by GitHub notes on neural network models of hippocampal-cortical interaction—indicating an interest in bridging AI research and practical systems. Practical, service-oriented, and continuously learning, Qi brings reliable execution across both user-facing web services and behind-the-scenes IT operations.
code11 years of coding experience
bookBachelor of Information Technology (Hons), Specialising in Software Engineering, Second Class, Bachelor of Information Technology (Hons), Specialising in Software Engineering, Second Class at SEGi University & Colleges
bookBachelor of Science (Hons), Computing, Second Class, Bachelor of Science (Hons), Computing, Second Class at Abertay University
languagesChinese, Chinese, English, Malay
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Stackoverflow

Stats
103reputation
7kreached
1answer
2questions
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Github Skills (80)

python10
mnist10
statistics10
lstm10
deep-reinforcement-learning10
attention-model10
tensorflow10
data-analysis10
pytorch10
machine-learning10
keras-neural-networks10
neural-network9
deep-learning9
imaging9
meta-learning9

Programming languages (8)

C++ShellTeXJavaScriptHTMLJupyter NotebookMATLABPython

Github contributions (5)

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qihongl/learn-hippo

Jun 2019 - Feb 2022

Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
Contributions:528 commits, 4 PRs, 71 pushes in 2 years 8 months
neural-networkepisodic-memoryevent-cognitionpytorchmemory-augmented-neural-networks
qihongl/when-to-recall

Nov 2022 - Feb 2023

Contributions:41 commits, 38 pushes in 2 months
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