Difference between revisions of "CV:General"

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__NOTOC__{{Template:CSS:CV}}<!--
 
__NOTOC__{{Template:CSS:CV}}<!--
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-->{{CVHeader}}{{Template:CVDivider}}
{{CVSectionHeader|title = Education}}
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{{CVSectionHeader|title = Professional experience}}
 
{{CVUSSubheader
 
{{CVUSSubheader
  |title = University College London
+
  |title = Research Software Development Engineer
  |sub = <small><i> - MEng Computer Science, First Class Honours</i></small>
+
  |sub = <small><i> - Ocean 5 Technologies Singapore</i></small>
  |date = 2011 - 2015
+
  |date = 2017 - present
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
*Masters research project - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Predicting_Personality_from_Twitter Predicting Personality from Twitter]</i>
+
* Designed and implemented a distributed messaging framework to support pilot-from-shore capabilities for underwater vehicles.
*Information Retrieval and Data Mining Prize
+
* 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.
*[http://www.cs.ucl.ac.uk/computer_science_news/article/undergraduate-research-group-projects-prize-winners/ Best Undergraduate Research Group Project of the Year] - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Task_Identification_using_Search_Engine_Query_Logs Task Identification using Search Engine Query Logs]</i>
+
{{CVMinor|Embedded systems {{*}} distributed systems and messaging }}
*Developed a platform-agnostic [http://lqkhoo.com/wiki/index.php/Main_Page#RoboHome home automation system] capable of remote surveillance, command and control
+
*Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries
+
 
}}
 
}}
{{CVUSSubheader
 
|title = Imperial College London
 
|sub = <small><i> - MBBS Medicine</i></small>
 
|date = 2009 - 2011
 
}}
 
{{CVContent|
 
*Withdrew in second year to transition to computer science
 
}}
 
{{CVUSSubheader
 
|title = Concord College, Shrewsbury
 
|sub = <small><i> - GCE A levels (Pre-A*) - AAAAab</i></small>
 
|date = 2008 - 2009
 
}}
 
{{CVContent|
 
*Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design
 
}}
 
 
<!-- Experience -->
 
{{CVSectionHeader|title = Professional experience}}
 
 
{{CVUSSubheader
 
{{CVUSSubheader
 
  |title = R&D Scientist
 
  |title = R&D Scientist
 
  |sub = <small><i> - Digital:MR</i></small>
 
  |sub = <small><i> - Digital:MR</i></small>
  |date = May 2015 - August 2015
+
  |date = 2015
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
4-month 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]. Using the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both existing and novel methods to develop a commercially-viable product.
+
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|Supervised learning {{*}} imaging}}
 
}}
 
}}
  
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  |title = Research Intern
 
  |title = Research Intern
 
  |sub = <small><i> - Microsoft Research Cambridge</i></small>
 
  |sub = <small><i> - Microsoft Research Cambridge</i></small>
  |date = May 2014 - August 2014
+
  |date = 2014
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
8-week 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].
+
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 block or allow the few sites they know and SmartFence infers the suitability for the rest of the web. We developed several different cluster/kernel-based models and visualization schemes, and I delivered a prototype for the OneWeek company-wide hackathon. A patent was applied for.
+
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|Unsupervised learning {{*}} information retrieval}}
 
}}
 
}}
  
 
{{CVUSSubheader
 
{{CVUSSubheader
 
  |title = Founding Developer
 
  |title = Founding Developer
  |sub = <small><i> - Unientry.Ltd</i></small>
+
  |sub = <small><i> - [http://www.unientry.org www.unientry.org]</i></small>
  |date = June 2013 - 2014
+
  |date = 2013
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
3-month internship and year-long support afterwards, to develop a pilot site to help sixth form students find the right university. The platform 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|Web development {{*}} agile}}
<i>Site: http://www.unientry.org</i>
+
 
}}
 
}}
 
 
{{CVUSSubheader
 
{{CVUSSubheader
 
  |title = JP Morgan Spring Week 2013
 
  |title = JP Morgan Spring Week 2013
|sub = <small><i> - European HQ - 25 Bank St. Canary Wharf</i></small>
+
  |date = 2013
  |date = April 2013
+
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
 
Competition to implement a performant implied volatility calculator. Team awarded second-best for code review and performance, and best for presentation.
 
Competition to implement a performant implied volatility calculator. Team awarded second-best for code review and performance, and best for presentation.
 
}}
 
}}
 
+
<!-- Education -->
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{{CVSectionHeader|title = Education}}
{{CVSectionHeader|title = Extracurriculars}}
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{{CVUSSubheader
 
{{CVUSSubheader
  |title = Self-directed research: Deep convnet models for equities pricing
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  |title = Stanford University <span style="font-weight: normal;">(Center for Professional Development)</span>
  |date = June 2016 - present
+
|sub = <small><i> - Graduate Certificate in AI</i></small>
 +
  |date = 2017 - present
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
The goal is to model the deterministic component of equities prices and relations between multiple time series, using layers of convolutional filter banks learned automatically through optimization. For simplicity, I used Microsoft's CNTK deep learning toolkit and QuantQuote's commercial tick-resolution historical dataset for all equities in the S&P500.
+
*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 = Study trip
+
  |title = University College London
  |sub = <small><i> - Hokkaido Japanese Language School</i></small>
+
  |sub = <small><i> - MEng Computer Science, First Class</i></small>
  |date = August 2014 - September 2014
+
  |date = 2011 - 2015
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
Self-funded intensive study trip with home stay in Sapporo to supplement my self study.
+
*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)
 +
*[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
 
}}
 
}}
 +
{{CVUSSubheader
 +
|title = Imperial College London - School of Medicine
 +
|sub = <small><i> - MBBS Medicine</i></small>
 +
|date = 2009 - 2011
 +
}}
 +
{{CVContent|
 +
*Withdrew in second year to transition to computer science.
 +
}}
 +
{{CVUSSubheader
 +
|title = Concord College, Shrewsbury
 +
|sub = <small><i> - GCE A levels (Pre-A*) - AAAAab</i></small>
 +
|date = 2008 - 2009
 +
}}
 +
{{CVContent|
 +
*Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design
 +
}}
 +
 
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{{CVInlineBlock|C#}}
 
{{CVInlineBlock|Java}}
 
 
{{CVInlineBlock|Python}}
 
{{CVInlineBlock|Python}}
{{CVInlineBlock|ASP.NET}}
+
{{CVInlineBlock|PyTorch}}
 
{{CVInlineBlock|MATLAB}}
 
{{CVInlineBlock|MATLAB}}
{{CVInlineBlock|HTML/CSS3}}
 
 
{{CVInlineBlock|JavaScript}}
 
{{CVInlineBlock|JavaScript}}
{{CVInlineBlock|d3.js}}
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{{CVInlineBlock|C / C++}}
{{CVInlineBlock|MongoDB}}
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{{CVInlineBlock|C#}}
{{CVInlineBlock|SQL}}
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{{CVInlineBlock|MediaWiki}}
 
{{CVInlineBlock|MediaWiki}}
 
{{CVInlineBlock|LaTeX}}
 
{{CVInlineBlock|LaTeX}}
 
{{CVInlineBlock|Sibelius}}
 
{{CVInlineBlock|Sibelius}}
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{{CVUSSubheader
 
|title = Academic interests
 
}}
 
{{CVContent|
 
{{CVInlineBlock|Applied machine learning}}
 
{{CVInlineBlock|Artificial intelligence}}
 
{{CVInlineBlock|Natural language processing}}
 
 
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{{CVInlineBlock|English}}
 
{{CVInlineBlock|English}}
 
{{CVInlineBlock|Mandarin}}
 
{{CVInlineBlock|Mandarin}}
 +
{{CVInlineBlock|Japanese}}
 
{{CVInlineBlock|Malay}}
 
{{CVInlineBlock|Malay}}
{{CVInlineBlock|Japanese (conversational)}}
 
 
{{CVInlineBlock|Piano}}
 
{{CVInlineBlock|Piano}}
{{CVInlineBlock|Programming}}
 
{{CVInlineBlock|Reading}}
 
 
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<noinclude>[[Category:CV]]</noinclude>
 
<noinclude>[[Category:CV]]</noinclude>

Revision as of 16:54, 26 March 2020

Professional experience
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.
Embedded systems • distributed systems and messaging
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.

Supervised learning • imaging
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.

Unsupervised learning • information retrieval
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.

Web development • agile
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.

Education
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
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
Competencies
Python
PyTorch
MATLAB
JavaScript
C / C++
C#
MediaWiki
LaTeX
Sibelius
Spoken languages and personal interests
English
Mandarin
Japanese
Malay
Piano