Difference between revisions of "CV:General"
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To deliver a pilot site for sixth form students and their teachers/mentors to find the right university for them. The platform publishes and filters information from the Higher Education Statistics Agency and gives recommendations based on students' perceived ability from their registered information and grades. | To deliver a pilot site for sixth form students and their teachers/mentors to find the right university for them. The platform publishes and filters information from the Higher Education Statistics Agency and gives recommendations based on students' perceived ability from their registered information and grades. | ||
+ | {{CVMinor|Scope: ~3 months + support {{!}} Team size: 3}} | ||
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To research, from search engine logs, how to determine the user's task behind all the queries that stem from the motivation to solve it (e.g. travelling to Yellowstone). First literature review phase is over, current phase is implementing the baseline algorithm ''(Lucchese et al. 2011)'' and finding ways to improve the result's accuracy based on perceived weaknesses of the baseline. | To research, from search engine logs, how to determine the user's task behind all the queries that stem from the motivation to solve it (e.g. travelling to Yellowstone). First literature review phase is over, current phase is implementing the baseline algorithm ''(Lucchese et al. 2011)'' and finding ways to improve the result's accuracy based on perceived weaknesses of the baseline. | ||
+ | {{CVMinor|Scope: Ongoing {{!}} Team size: 4 {{!}} URL: http://www.unientry.org}} | ||
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To develop a home automation platform capable of controlling devices locally, as well as remote surveillance. Platform is capable of controlling Arduino, Gadgeteer, and Wiimo (Belkin) devices, and has limited voice recognition functions. Remote component is hosted on Azure, local server is a Raspberry Pi running ArchLinux, which our Flask-based Python backend runs on. | To develop a home automation platform capable of controlling devices locally, as well as remote surveillance. Platform is capable of controlling Arduino, Gadgeteer, and Wiimo (Belkin) devices, and has limited voice recognition functions. Remote component is hosted on Azure, local server is a Raspberry Pi running ArchLinux, which our Flask-based Python backend runs on. | ||
+ | {{CVMinor| | ||
+ | Scope: ~9 months {{!}} Team size: 5 {{!}} Project site: http://comp2013group7.wikia.com/wiki/Comp2013group7_Wiki | ||
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To implement a performant volatility calculator for a stream of options prices (to estimate the inverse of the Black-Scholes algorithm). Implementation was in Java, core algorithm is a simple Newton-Raphson iterator. Team awarded second best for code performance and code review, and best for presentation. | To implement a performant volatility calculator for a stream of options prices (to estimate the inverse of the Black-Scholes algorithm). Implementation was in Java, core algorithm is a simple Newton-Raphson iterator. Team awarded second best for code performance and code review, and best for presentation. | ||
+ | {{CVMinor|Scope: ~8 hours {{!}} Team size: 4}} | ||
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Code jam to develop a clip art application to raise awareness about nature in cities. Final application uses HTML5 canvas (Kinetic.js) with a PHP backend for uploads. | Code jam to develop a clip art application to raise awareness about nature in cities. Final application uses HTML5 canvas (Kinetic.js) with a PHP backend for uploads. | ||
+ | {{CVMinor|Scope: 48 hours {{!}} Team size: 4 {{!}} Source: https://github.com/horaceli/naturegram}} | ||
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To program a maze-solving robot in C. Final algorithm is based on a wall-follower. Team placed 10th out of 30. | To program a maze-solving robot in C. Final algorithm is based on a wall-follower. Team placed 10th out of 30. | ||
+ | {{CVMinor|Scope: ~3 months {{!}} Team size: 2}} | ||
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To develop an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries. | To develop an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries. | ||
+ | {{CVMinor|Scope: ~3 months {{!}} Team size: 2}} | ||
}} | }} | ||
<!-- Education --> | <!-- Education --> |
Revision as of 12:58, 28 January 2014
Li Quan Khoo | li.khoo.11@ucl.ac.uk | changtau2005@gmail.com |
http://lqkhoo.com/wiki | https://github.com/lqkhoo | |
http://www.linkedin.com/pub/li-quan-khoo/89/a27/8aa |
Software Developer
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June 2013 - present
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Unientry.Ltd
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To deliver a pilot site for sixth form students and their teachers/mentors to find the right university for them. The platform publishes and filters information from the Higher Education Statistics Agency and gives recommendations based on students' perceived ability from their registered information and grades.
Research Project: Task identification in search engine query logs
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Sep 2013 - present
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UCL
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To research, from search engine logs, how to determine the user's task behind all the queries that stem from the motivation to solve it (e.g. travelling to Yellowstone). First literature review phase is over, current phase is implementing the baseline algorithm (Lucchese et al. 2011) and finding ways to improve the result's accuracy based on perceived weaknesses of the baseline.
Project: RoboHome
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Sep 2012 - May 2013
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UCL
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To develop a home automation platform capable of controlling devices locally, as well as remote surveillance. Platform is capable of controlling Arduino, Gadgeteer, and Wiimo (Belkin) devices, and has limited voice recognition functions. Remote component is hosted on Azure, local server is a Raspberry Pi running ArchLinux, which our Flask-based Python backend runs on.
Scope: ~9 months | Team size: 5 | Project site: http://comp2013group7.wikia.com/wiki/Comp2013group7_Wiki
JP Morgan Spring Week 2013
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Apr 2013
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To implement a performant volatility calculator for a stream of options prices (to estimate the inverse of the Black-Scholes algorithm). Implementation was in Java, core algorithm is a simple Newton-Raphson iterator. Team awarded second best for code performance and code review, and best for presentation.
JP Morgan Code for Good Challenge 2012
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Nov 2012
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Code jam to develop a clip art application to raise awareness about nature in cities. Final application uses HTML5 canvas (Kinetic.js) with a PHP backend for uploads.
Robot Race
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2012
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UCL Computer Science
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To program a maze-solving robot in C. Final algorithm is based on a wall-follower. Team placed 10th out of 30.
Project: Android App
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2012
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UCL Computer Science
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To develop an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries.
University College London
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2011 - present
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MEng Computer Science, First class (expected, 2015)
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Current institution of study.
Imperial College London
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2009 - 2011
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MBBS Medicine
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Withdrew during second year to transition to computer science. No credits transferable.
Concord College, Shrewsbury
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2008 - 2009
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A levels (Pre-A*)
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AAAAab (Biology, Chemistry, Physics, Mathematics, AS English literature, AS Music)
- Outstanding Chemistry Student of the Year 2008
- Outstanding Music Student of the Year 2008
- Hovercraft, solar buggy races participant
Interests
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Spoken languages
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