Difference between revisions of "CV:General"

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__NOTOC__{{Template:CSS:CV}}<!--
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<!-- Experience -->
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{{CVSectionHeader|title = Professional experience}}
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{{CVUSSubheader
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|title = Research Software Development Engineer
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|sub = <small><i> - Ocean 5 Technologies Singapore</i></small>
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|date = 2017 - 2021
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}}
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{{CVContent|
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* Designed and implemented a distributed messaging framework to support pilot-from-shore capabilities for underwater vehicles.
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* Developed a controller to distribute energy from a hydraulic powerplant in a tractor-drill combine depending on workload or sensor input.
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* Prototyped a Pytorch-based computer vision system for robotic survey of undersea pipelines.
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{{CVMinor|Embedded systems / distributed systems {{*}} imaging }}
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}}
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{{CVUSSubheader
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|title = R&D Scientist
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|sub = <small><i> - Digital:MR</i></small>
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|date = 2015
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}}
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{{CVContent|
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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.
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{{CVMinor|Supervised learning {{*}} imaging}}
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}}
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{{CVUSSubheader
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|title = Research Intern
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|sub = <small><i> - Microsoft Research Cambridge</i></small>
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|date = 2014
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}}
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{{CVContent|
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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].
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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.
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{{CVMinor|Unsupervised learning {{*}} information retrieval}}
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}}
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{{CVUSSubheader
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|title = Founding Developer
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|sub = <small><i> - [http://www.unientry.org www.unientry.org]</i></small>
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|date = 2013
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}}
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{{CVContent|
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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.
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{{CVMinor|Web development {{*}} agile}}
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}}
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{{CVUSSubheader
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|title = JP Morgan Spring Week 2013
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|date = 2013
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}}
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{{CVContent|
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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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}}
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<!-- Education -->
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{{CVSectionHeader|title = Education}}
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{{CVUSSubheader
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|title = Stanford University <span style="font-weight: normal;">(Center for Professional Development)</span>
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|sub = <small><i> - Graduate Certificate in AI</i></small>
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|date = 2017 - present
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}}
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{{CVContent|
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*AA274A Principles of Robot Autonomy I (Fall 2020) {{CVMinorSpan | GPA 4.0}}
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*CS234 Reinforcement Learning (Winter 2019) {{CVMinorSpan|GPA 4.0}}
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*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>
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}}
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{{CVUSSubheader
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|title = University College London
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|sub = <small><i> - MEng Computer Science, First Class</i></small>
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|date = 2011 - 2015
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}}
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{{CVContent|
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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>
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*Information Retrieval and Data Mining Prize (research and poster session)
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*[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>
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*Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries
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}}
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{{CVUSSubheader
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|title = Imperial College London - School of Medicine
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|sub = <small><i> - MBBS Medicine</i></small>
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|date = 2009 - 2011
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}}
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{{CVContent|
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*Withdrew in second year to transition to computer science.
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}}
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{{CVUSSubheader
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|title = Concord College, Shrewsbury
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|sub = <small><i> - GCE A levels (Pre-A*) - AAAAab</i></small>
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|date = 2008 - 2009
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}}
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{{CVContent|
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*Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design
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}}
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<!-- Skills -->
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{{CVSectionHeader|title = Competencies}}
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{{CVContent|
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{{CVInlineBlock|Python}}
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{{CVInlineBlock|PyTorch}}
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{{CVInlineBlock|C / C++}}
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{{CVInlineBlock|C#}}
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{{CVInlineBlock|TypeScript}}
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{{CVInlineBlock|JavaScript}}
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{{CVInlineBlock|MediaWiki}}
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{{CVInlineBlock|LaTeX}}
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{{CVInlineBlock|Sibelius}}
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}}
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{{CVUSSubheader
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|title = Spoken languages and personal interests
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}}
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{{CVContent|
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{{CVInlineBlock|English}}
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{{CVInlineBlock|Mandarin}}
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{{CVInlineBlock|Japanese}}
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{{CVInlineBlock|Malay}}
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{{CVInlineBlock|Piano}}
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}}
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{{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