Difference between revisions of "CV:General"

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__NOTOC__{{Template:CSS:CV}}<!--
 
__NOTOC__{{Template:CSS:CV}}<!--
-->{{CVHeader}}{{Template:CVDivider}}<!-- Education -->
+
-->{{CVHeader}}{{Template:CVDivider}}
{{CVSectionHeader|title = Education}}
+
 
 +
<!-- Experience -->
 +
{{CVSectionHeader|title = Professional experience}}
 
{{CVUSSubheader
 
{{CVUSSubheader
  |title = Stanford Center for Professional Development  
+
  |title = Research Software Development Engineer
  |sub = <small><i> - Graduate Certificate in AI</i></small>
+
  |sub = <small><i> - Ocean 5 Technologies Singapore</i></small>
  |date = 2017 - present
+
  |date = 2017 - 2021
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
*CS231n Convolutional Neural Networks for Visual Recognition - Capstone: <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Bounding_Out-of-Sample_Objects_.282017.29 Bounding out-of-sample objects]</i>
+
* Designed and implemented a distributed messaging framework to support pilot-from-shore capabilities for underwater vehicles.
 +
* Developed a controller to distribute energy from a hydraulic powerplant in a tractor-drill combine depending on workload or sensor input.
 +
* Prototyped a Pytorch-based computer vision system for robotic survey of undersea pipelines.
 +
{{CVMinor|Embedded systems / distributed systems {{*}} imaging }}
 
}}
 
}}
 
{{CVUSSubheader
 
{{CVUSSubheader
  |title = University College London
+
  |title = R&D Scientist
  |sub = <small><i> - MEng Computer Science, First Class Honours</i></small>
+
  |sub = <small><i> - Digital:MR</i></small>
  |date = 2011 - 2015
+
  |date = 2015
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
*Final year research project - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Predicting_Personality_from_Twitter Predicting Personality from Twitter]</i>
+
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.
*Information Retrieval and Data Mining Prize
+
{{CVMinor|Supervised learning {{*}} imaging}}
*[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>
+
*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
 
{{CVUSSubheader
  |title = Imperial College London - School of Medicine
+
  |title = Research Intern
  |sub = <small><i> - MBBS Medicine</i></small>
+
  |sub = <small><i> - Microsoft Research Cambridge</i></small>
  |date = 2009 - 2011
+
  |date = 2014
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
*Withdrew in second year to transition to computer science
+
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 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 = Concord College, Shrewsbury
+
  |title = Founding Developer
  |sub = <small><i> - GCE A levels (Pre-A*) - AAAAab</i></small>
+
  |sub = <small><i> - [http://www.unientry.org www.unientry.org]</i></small>
  |date = 2008 - 2009
+
  |date = 2013
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
*Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design
+
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}}
 
}}
 
}}
 
<!-- Experience -->
 
{{CVSectionHeader|title = Professional experience}}
 
 
{{CVUSSubheader
 
{{CVUSSubheader
  |title = Research Software Development Engineer
+
  |title = JP Morgan Spring Week 2013
|sub = <small><i> - Ocean 5 Technologies</i></small>
+
  |date = 2013
  |date = March 2017 - present
+
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
Development of a command, control and analytics platform for fleets of GPS-and-sensor-equipped agricultural vehicles to be deployed in remote locations with unreliable internet access. Part of a government initiative to improve accountability and yield through technology and data. I work closely with electrical and mechanical engineers, and I am responsible for developing communication protocols and end-to-end systems development, hence my work spans from writing embedded C for microprocessors all the way to the Python backend and web UI.
+
Competition to implement a performant implied volatility calculator. Team awarded second-best for code review and performance, and best for presentation.
 
}}
 
}}
 +
<!-- Education -->
 +
{{CVSectionHeader|title = Education}}
 
{{CVUSSubheader
 
{{CVUSSubheader
  |title = R&D Scientist
+
  |title = Stanford University <span style="font-weight: normal;">(Center for Professional Development)</span>
  |sub = <small><i> - Digital:MR</i></small>
+
  |sub = <small><i> - Graduate Certificate in AI</i></small>
  |date = May 2015 - August 2015
+
  |date = 2017 - present
 
}}
 
}}
 
{{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.
+
*AA274A Principles of Robot Autonomy I (Fall 2020) {{CVMinorSpan | GPA 4.0}}
 +
*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 = Research Intern
+
  |title = University College London
  |sub = <small><i> - Microsoft Research Cambridge</i></small>
+
  |sub = <small><i> - MEng Computer Science, First Class</i></small>
  |date = May 2014 - August 2014
+
  |date = 2011 - 2015
 
}}
 
}}
 
{{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].
+
*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)
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.
+
*[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
 
{{CVUSSubheader
  |title = Founding Developer
+
  |title = Imperial College London - School of Medicine
  |sub = <small><i> - [http://www.unientry.org www.unientry.org]</i></small>
+
  |sub = <small><i> - MBBS Medicine</i></small>
  |date = June 2013 - 2014
+
  |date = 2009 - 2011
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
3-month internship with UniEntry 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.
+
*Withdrew in second year to transition to computer science.
 
}}
 
}}
 
{{CVUSSubheader
 
{{CVUSSubheader
  |title = Side projects and extracurriculars
+
  |title = Concord College, Shrewsbury
 +
|sub = <small><i> - GCE A levels (Pre-A*) - AAAAab</i></small>
 +
|date = 2008 - 2009
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
* JP Morgan Spring Week 2013 - Competition to develop a performant estimator of Black-Scholes' inverse. Best presentation, 2nd best performance.
+
*Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design
* JP Morgan Code for Good Challenge 2012 - To develop an app that raises awareness about nature in cities.
+
* [https://github.com/lqkhoo/SynthJS SynthJS Music Made Quick] - Experimental music sequencer that runs entirely in the browser
+
* 4-week intensive language study strip and home stay in Hokkaido
+
 
}}
 
}}
  
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{{CVInlineBlock|Python}}
 
{{CVInlineBlock|Python}}
 
{{CVInlineBlock|PyTorch}}
 
{{CVInlineBlock|PyTorch}}
{{CVInlineBlock|MATLAB}}
+
{{CVInlineBlock|C / C++}}
{{CVInlineBlock|JavaScript}}
+
{{CVInlineBlock|C}}
+
 
{{CVInlineBlock|C#}}
 
{{CVInlineBlock|C#}}
 +
{{CVInlineBlock|TypeScript}}
 +
{{CVInlineBlock|JavaScript}}
 
{{CVInlineBlock|MediaWiki}}
 
{{CVInlineBlock|MediaWiki}}
 
{{CVInlineBlock|LaTeX}}
 
{{CVInlineBlock|LaTeX}}
 
{{CVInlineBlock|Sibelius}}
 
{{CVInlineBlock|Sibelius}}
}}
 
{{CVUSSubheader
 
|title = Academic interests
 
}}
 
{{CVContent|
 
I am most interested in data-driven decision-making, especially when they directly improve quality of life, e.g. imaging and natural language systems, assistive technologies, robotics, or medical applications.
 
}}
 
{{CVContent|
 
{{CVInlineBlock|Machine learning}}
 
{{CVInlineBlock|Neural networks}}
 
{{CVInlineBlock|Reinforcement learning}}
 
{{CVInlineBlock|Time series}}
 
 
}}
 
}}
 
{{CVUSSubheader
 
{{CVUSSubheader
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{{CVInlineBlock|English}}
 
{{CVInlineBlock|English}}
 
{{CVInlineBlock|Mandarin}}
 
{{CVInlineBlock|Mandarin}}
 +
{{CVInlineBlock|Japanese}}
 
{{CVInlineBlock|Malay}}
 
{{CVInlineBlock|Malay}}
{{CVInlineBlock|Japanese}}
 
 
{{CVInlineBlock|Piano}}
 
{{CVInlineBlock|Piano}}
 
}}
 
}}
 
{{CVFooter|{{fullurl:File:CV}}}}
 
{{CVFooter|{{fullurl:File:CV}}}}
 
<noinclude>[[Category:CV]]</noinclude>
 
<noinclude>[[Category:CV]]</noinclude>

Latest revision as of 00:05, 27 January 2022

Professional experience
Research Software Development Engineer - Ocean 5 Technologies Singapore
2017 - 2021
  • Designed and implemented a distributed messaging framework to support pilot-from-shore capabilities for underwater vehicles.
  • Developed a controller to distribute energy from a hydraulic powerplant in a tractor-drill combine depending on workload or sensor input.
  • Prototyped a Pytorch-based computer vision system for robotic survey of undersea pipelines.
Embedded systems / distributed systems • imaging
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
  • AA274A Principles of Robot Autonomy I (Fall 2020) GPA 4.0
  • 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
C / C++
C#
TypeScript
JavaScript
MediaWiki
LaTeX
Sibelius
Spoken languages and personal interests
English
Mandarin
Japanese
Malay
Piano