Difference between revisions of "CV:General"

• Overhauled control model for underwater robots, which enabled better handling underwater. Implemented support for autonomous operations and remote piloting capabilities from the shore.
• 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.

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.

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.

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.

• CS234 Reinforcement Learning (Winter 2019) GPA 4.0
• CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) GPA 3.7 - Capstone: Bounding out-of-sample objects

• Final year research project - Predicting Personality from Twitter
• Information Retrieval and Data Mining Prize (research and poster session)
• Best Undergraduate Research Group Project of the Year - Task Identification Using Search Engine Query Logs
• Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries

• I studied principles of anatomy, physiology, cellular pathways etc. Withdrew in second year to transition to computer science

• Outstanding Student of the Year 2008 - Double award (Chemistry, Music) | Most imaginative hovercraft design

I am interested in all forms of data-driven decision-making, especially when there is a direct impact on quality of life or productivity, e.g. imaging and natural language systems, assistive technologies, robotics, or medical applications. I value simplicity, clarity, and the ability to adapt and learn, in both systems and people.