Difference between revisions of "CV:General"

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__NOTOC__{{Template:CSS:CV}}<!--
 
__NOTOC__{{Template:CSS:CV}}<!--
-->Application for: Computational and Mathematical Engineering MS
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-->{{CVHeader}}{{Template:CVDivider}}
{{CVHeader}}{{Template:CVDivider}}<!-- Education -->
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{{CVSectionHeader|title = Education}}
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<!-- Experience -->
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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
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  |date = 2017 - 2021
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
*Masters research project - <i>[[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 runner-up
+
* Developed a controller to distribute energy from a hydraulic powerplant in a tractor-drill combine depending on workload or sensor input.
*[http://www.cs.ucl.ac.uk/computer_science_news/article/undergraduate-research-group-projects-prize-winners/ Best Research Group Project of the Year] - <i>[[Main_Page#Task_Identification_using_Search_Engine_Query_Logs|Task Identification using Search Engine Query Logs]]</i>
+
* Prototyped a Pytorch-based computer vision system for robotic survey of undersea pipelines.
*Developed a platform-agnostic [[Main_Page#RoboHome|home automation system]] capable of remote surveillance and command and control
+
{{CVMinor|Embedded systems / distributed systems {{*}} imaging }}
*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 during 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, solar buggy race consolation prize, annual public music (piano) performance participant.
 
}}
 
 
<!-- 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|
3-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 technology strategy board]. Using the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both existing and novel methods with the goal of developing 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}}
 
}}
 
}}
  
Line 47: Line 28:
 
  |title = Research Intern
 
  |title = Research Intern
 
  |sub = <small><i> - Microsoft Research Cambridge</i></small>
 
  |sub = <small><i> - Microsoft Research Cambridge</i></small>
  |date = June 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  [http://research.microsoft.com/en-us/um/people/pkohli/ Pushmeet Kohli], [http://research.microsoft.com/en-us/people/yobach/ Yoram Bachrach], [http://www.ulrichpaquet.com/ Ulrich Paquet], and [http://research.microsoft.com/en-us/people/filiprad/ 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 and allow the sites they know and SmartFence infers the suitability of the rest of the web. We developed several different models, 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 to develop a pilot site to help sixth form students to find the right university. The platform filters information from the 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|
Implemented a performant implied volatility calculator for a stream of options prices, using the Black-Scholes model. 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.
+
Competition to implement a performant implied volatility calculator. Team awarded second-best for code review and performance, and best for presentation.
 
}}
 
}}
 
+
<!-- Education -->
<!-- Extracurriculars -->
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{{CVSectionHeader|title = Education}}
{{CVSectionHeader|title = Extracurriculars}}
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{{CVUSSubheader
 
{{CVUSSubheader
  |title = SynthJS - Music made quick
+
  |title = Stanford University <span style="font-weight: normal;">(Center for Professional Development)</span>
  |date = December 2013
+
|sub = <small><i> - Graduate Certificate in AI</i></small>
 +
  |date = 2017 - present
 
}}
 
}}
 
{{CVContent|
 
{{CVContent|
An experiment in music synthesis and representation using HTML5-based technologies and an exercise in UI design. The original intention was to let people sequence music quickly with little to no musical knowledge required.
+
*AA274A Principles of Robot Autonomy I (Fall 2020) {{CVMinorSpan | GPA 4.0}}
 
+
*CS234 Reinforcement Learning (Winter 2019) {{CVMinorSpan|GPA 4.0}}
<i>Site: http://lqkhoo.com/synthjs {{!}} Source: https://github.com/lqkhoo/SynthJS</i>
+
*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, Japan, 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
 +
}}
 +
 
<!-- Skills -->
 
<!-- Skills -->
 
{{CVSectionHeader|title = Competencies}}
 
{{CVSectionHeader|title = Competencies}}
 
{{CVContent|
 
{{CVContent|
*C#, Java, Python, ASP.NET, MATLAB, HTML/CSS3, JavaScript, jQuery, D3.js, Knockout.js, MongoDB, SQL, LaTeX, Sibelius
+
{{CVInlineBlock|Python}}
{{CVUSSubheader
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{{CVInlineBlock|PyTorch}}
|title = Academic interests
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{{CVInlineBlock|C / C++}}
 +
{{CVInlineBlock|C#}}
 +
{{CVInlineBlock|TypeScript}}
 +
{{CVInlineBlock|JavaScript}}
 +
{{CVInlineBlock|MediaWiki}}
 +
{{CVInlineBlock|LaTeX}}
 +
{{CVInlineBlock|Sibelius}}
 
}}
 
}}
*Machine learning, Artificial Intelligence, Game theory, Natural language processing
 
 
{{CVUSSubheader
 
{{CVUSSubheader
 
  |title = Spoken languages and personal interests
 
  |title = Spoken languages and personal interests
 
}}
 
}}
*English, Mandarin, Malay, Japanese (elementary), Piano, Music composition, Reading
+
{{CVContent|
 +
{{CVInlineBlock|English}}
 +
{{CVInlineBlock|Mandarin}}
 +
{{CVInlineBlock|Japanese}}
 +
{{CVInlineBlock|Malay}}
 +
{{CVInlineBlock|Piano}}
 
}}
 
}}
 +
{{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