Difference between revisions of "CV:General"
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{{CVUSSubheader | {{CVUSSubheader | ||
|title = Research Software Development Engineer | |title = Research Software Development Engineer | ||
− | |sub = <small><i> - Ocean 5 Technologies</i></small> | + | |sub = <small><i> - Ocean 5 Technologies Singapore</i></small> |
|date = 2017 - present | |date = 2017 - present | ||
}} | }} | ||
{{CVContent| | {{CVContent| | ||
− | + | * Designed and implemented a distributed messaging framework to support pilot-from-shore capabilities for underwater vehicles. | |
− | {{CVMinor| | + | * Developed a controller for a tractor-drill combine while collaborating with E&E and mechanical engineers, to make certain types of rocky terrain feasible for agriculture. |
+ | {{CVMinor|Embedded systems {{*}} distributed systems and messaging }} | ||
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{{CVContent| | {{CVContent| | ||
− | + | Completed a feasibility study on sentiment analysis of images in social media, funded by a research grant from [https://www.gov.uk/government/organisations/innovate-uk the UK government's technology strategy board]. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, which has since evolved to be based on convolutional neural nets. | |
− | {{CVMinor| | + | {{CVMinor|Supervised learning {{*}} imaging}} |
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{{CVContent| | {{CVContent| | ||
− | + | Completed a research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers [https://www.microsoft.com/en-us/research/people/pkohli/ Pushmeet Kohli], [http://research.microsoft.com/en-us/people/yobach/ Yoram Bachrach], [http://www.ulrichpaquet.com/ Ulrich Paquet], and [http://www.radlinski.org/ Filip Radlinski]. | |
− | I worked on Project SmartFence - an application for web access control. Users | + | I worked on Project SmartFence - an application for web access control. Users block or allow a few sites they know about, and SmartFence automatically infers the suitability of the rest of the web. We developed several different cluster/kernel-based models and visualization schemes. The final model generates a high dimensional embedding of websites from search sessions (think associated filtering). I delivered a prototype for the OneWeek company-wide hackathon, and a patent was applied for. |
− | {{CVMinor| | + | {{CVMinor|Unsupervised learning {{*}} information retrieval}} |
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{{CVContent| | {{CVContent| | ||
Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades. | Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades. | ||
− | {{CVMinor| | + | {{CVMinor|Web development {{*}} agile}} |
+ | }} | ||
+ | {{CVUSSubheader | ||
+ | |title = JP Morgan Spring Week 2013 | ||
+ | |date = 2013 | ||
+ | }} | ||
+ | {{CVContent| | ||
+ | Competition to implement a performant implied volatility calculator. Team awarded second-best for code review and performance, and best for presentation. | ||
}} | }} | ||
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<!-- Education --> | <!-- Education --> | ||
{{CVSectionHeader|title = Education}} | {{CVSectionHeader|title = Education}} | ||
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{{CVContent| | {{CVContent| | ||
− | *CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) - | + | *CS234 Reinforcement Learning (Winter 2019) {{CVMinorSpan|GPA 4.0}} |
− | + | *CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) {{CVMinorSpan|GPA 3.7}} - Project: <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Bounding_Out-of-Sample_Objects_.282017.29 Bounding out-of-sample objects]</i> | |
}} | }} | ||
{{CVUSSubheader | {{CVUSSubheader | ||
|title = University College London | |title = University College London | ||
− | |sub = <small><i> - MEng Computer Science, First Class | + | |sub = <small><i> - MEng Computer Science, First Class</i></small> |
|date = 2011 - 2015 | |date = 2011 - 2015 | ||
}} | }} | ||
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*Final year research project - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Predicting_Personality_from_Twitter_.282015.29 Predicting Personality from Twitter]</i> | *Final year research project - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Predicting_Personality_from_Twitter_.282015.29 Predicting Personality from Twitter]</i> | ||
*Information Retrieval and Data Mining Prize (research and poster session) | *Information Retrieval and Data Mining Prize (research and poster session) | ||
− | *[http://www.cs.ucl.ac.uk/computer_science_news/ | + | *[https://web.archive.org/web/20140610022250/http://www.cs.ucl.ac.uk/computer_science_news/?tx_ttnews%5Btt_news%5D{{=}}1144&cHash{{=}}4617ee2bfc0eb070cd6a367203945ace Best Undergraduate Research Group Project of the Year] - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Task_Identification_using_Search_Engine_Query_Logs_.282014.29 Task Identification Using Search Engine Query Logs]</i> |
− | + | ||
*Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries | *Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries | ||
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− | * | + | *Withdrew in second year to transition to computer science. |
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{{CVInlineBlock|MATLAB}} | {{CVInlineBlock|MATLAB}} | ||
{{CVInlineBlock|JavaScript}} | {{CVInlineBlock|JavaScript}} | ||
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{{CVInlineBlock|C#}} | {{CVInlineBlock|C#}} | ||
{{CVInlineBlock|MediaWiki}} | {{CVInlineBlock|MediaWiki}} | ||
{{CVInlineBlock|LaTeX}} | {{CVInlineBlock|LaTeX}} | ||
{{CVInlineBlock|Sibelius}} | {{CVInlineBlock|Sibelius}} | ||
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Revision as of 16:54, 26 March 2020
Li Quan Khoo | ![]() |
changtau2005@gmail.com |
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Research Software Development Engineer - Ocean 5 Technologies Singapore | 2017 - present
|
- Designed and implemented a distributed messaging framework to support pilot-from-shore capabilities for underwater vehicles.
- Developed a controller for a tractor-drill combine while collaborating with E&E and mechanical engineers, to make certain types of rocky terrain feasible for agriculture.
R&D Scientist - Digital:MR | 2015
|
Completed a feasibility study on sentiment analysis of images in social media, funded by a research grant from the UK government's technology strategy board. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, which has since evolved to be based on convolutional neural nets.
Research Intern - Microsoft Research Cambridge | 2014
|
Completed a research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers Pushmeet Kohli, Yoram Bachrach, Ulrich Paquet, and Filip Radlinski.
I worked on Project SmartFence - an application for web access control. Users block or allow a few sites they know about, and SmartFence automatically infers the suitability of the rest of the web. We developed several different cluster/kernel-based models and visualization schemes. The final model generates a high dimensional embedding of websites from search sessions (think associated filtering). I delivered a prototype for the OneWeek company-wide hackathon, and a patent was applied for.
Founding Developer - www.unientry.org | 2013
|
Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades.
JP Morgan Spring Week 2013 | 2013
|
Competition to implement a performant implied volatility calculator. Team awarded second-best for code review and performance, and best for presentation.
Stanford University (Center for Professional Development) - Graduate Certificate in AI | 2017 - present
|
- CS234 Reinforcement Learning (Winter 2019) GPA 4.0
- CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) GPA 3.7 - Project: Bounding out-of-sample objects
University College London - MEng Computer Science, First Class | 2011 - 2015
|
- Final year research project - Predicting Personality from Twitter
- Information Retrieval and Data Mining Prize (research and poster session)
- Best Undergraduate Research Group Project of the Year - Task Identification Using Search Engine Query Logs
- Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries
Imperial College London - School of Medicine - MBBS Medicine | 2009 - 2011
|
- Withdrew in second year to transition to computer science.
Concord College, Shrewsbury - GCE A levels (Pre-A*) - AAAAab | 2008 - 2009
|
- Outstanding Student of the Year 2008 - Double award (Chemistry, Music) | Most imaginative hovercraft design
Spoken languages and personal interests |