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Michael Painter is listed as DPhil student at University of Oxford based in Oxford, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Michael Painter.
Michael Painter previously worked as Software Engineer Intern at Google and Data Science Intern at Microsoft. Michael Painter holds Doctor Of Philosophy - Phd, Engineering Science from University Of Oxford.
PhD student at the University of Oxford, with research focusing on Sequential Decision Making, Reinforcement Learning and Monte Carlo Tree Search. 8 years of experience in machine learning, with projects in reinforcement learning, computer vision, image generation, natural language processing, and experience with parallel and distributed systems. Authored first open-source, parallelised implementation of trial-based heuristic tree search in C++. In my free time, I like to get stuck halfway up mountains. I used to take heavy things and throw them far away, in the hope of being awarded a shiny gold circle, but I still enjoy exercising regularly. And, I like to roll some dice in the hope of moving my meeple to a good space on a board.
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Mountain View, California, United States
• Developed Generalised Linear Mixed Models to predict click-through rate (CTR) and conversion rate (CVR) • Fitted models using variational inference on billions of data points to improve training efficiency and remove bias from gradient updates; built the training algorithm such that it could distributed to exploit data parallelism and model sparsity
Seattle, Washington, United States
• Trained Generative Adversarial Networks (GANs) to predict 3D human pose estimates from one RGB image• Used image data augmentation techniques to improve model robustness to ``in the wild'' images • Incorporated depth estimation networks to produce global 3D pose predictions, used by Kinect for Azure
Palo Alto, California, United States
Course staff for CS109 - Probability for Computer Scientists - Winter 2017 (Jan 2017 -- Mar 2017).Course staff for CS110 - Principles of Computer Systems - Spring 2017 (Apr 2017 -- Jun 2017).Course staff for CS110 - Principles of Computer Systems - Fall 2017 (Sep 2017 -- Dec 2017).Course staff for CS234 - Reinforcement Learning - Winter 2018 (Jan 2018 -- Mar 2018).Course staff for CS110 - Principles of Computer Systems - Spring 2018 (Apr 2018 -- Jun 2018).Duties included:- Holding office hours- Running labs- Grading- Code reviewing- Writing exam questions- Writing lecture notes
Sunnyvale, California, United States
• Improved delivery of alarms by removing the necessity of sound files to be stored on devices.• Added several features that improve the scalability of the alarm systems, for example, enabling audio files stored on DynamoDB to be used, rather than files having to be stored locally on the device.
Churchill College, Cambridge
Committee member of Churchill Spring Ball 2016 as head of security. An event with over 900 guests, over £66k budget and £60k revenueResponsibilities included: • Booking and liaising with a security company• Organising fencing and stage barriers• Arranging a wristband system• Hiring and organising the radio communications system• Managing the security team on the night• General setup and clean up for the event
Cambridge, United Kingdom
A small start-up (at the time I worked there), working on a restful “geo-spatial” database system written in Java, on top of Google’s App Engine. The geo-spatial database provided a RESTful API for clients to interact with. A corresponding website provided usage statistics, billing information and more. Technologies used included Javascript, (Facebook’s) react and GoLang.Examples of work:• Co-ordinated a distributed cluster of servers to test the maximal throughput of the system.• Mathematically modeled the system to identify bottlenecks between constituent modules.• Developed an eventually consistent local cache for server instances, increasing maximal throughput by approximately 5000req/sec (approx 2-3x what could be handled before) under a realistic ratio of query types.
Activities and Societies: Oxford Univsity Athletics Club, Team Orion (a RoboCup@Home team)Part of the Goal-Oriented Long-Lived Systems.
Activities and Societies: Varsity Track and FieldI attended Stanford as an MSCS student specializing in Artificial Intelligence. During my.
Activities and Societies: Cambridge University Athletics Club, Churchill Ultimate Frisbee, Churchill Spring Ball Committee 2016, Churchill.
A-Level results: A* in Maths A* in Further Maths A* in Computing A in Physics A in (AS-level) Biology GCSE results: 6 A*'s and 5 A's.
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Michael Painter is listed as DPhil student at University of Oxford.
Michael Painter is based in Oxford, England, United Kingdom.
Michael Painter has worked for Google, Microsoft, Stanford University, Amazon Lab126, and Churchill College, University Of Cambridge.
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Michael Painter holds Doctor Of Philosophy - Phd, Engineering Science from University Of Oxford.
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