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followers: 4.0 following: 12.0 repos: 40.0 gists: 0.0

Name: Mark Phillips

Type: User

Bio: Software Developer and Product Owner - Exploring new tech and learning new things

Welcome / Bienvenue! 👋

I'm Mark, a Software Developer and Founder of Cover Drive Cricket, and I love making things that help people or exploring cool new ideas 😄

Aside from technology, I'm an enthusiastic sports player; I've represented Great Britain in 19 international floorball matches 🇬🇧, I play cricket 🏏 and field hockey 🏑 for local clubs, and I've also dabbled in football ⚽, tennis 🎾, rugby 🏉, ice hockey 🏒 and more!

What I'm working on

Cover Drive Cricket

Prior Experience:

Software Developer:

Created several in-house web apps to improve day-to-day processes for internal teams. Used: AngularJS, CherryPy.
Created a personal information management app to combine tasks, events, bookmarks, notes and projects. Used: React, Node.js, Google APIs.
Participated in several hackathons, including winning "Local People's Choice Winner" for a game about global warming (Tux's Arctic Exchange) in the 2018 Nasa SpaceApps Challenge.
Built on prior research around machine learning algorithms to train an agent that plays Ms Pacman. Used: Python, OpenAI.
Created proof-of-concept apps in different verticals: an Android app, Atom extensions, and a Firefox browser extension.

Product Owner:

Led teams to design and implement a student-facing insights feature, allowing students to see the progress they're making in an easy-to-understand way.
Worked with a senior PO to bring a new independent learning product to market, reaching 20,000+ users in a few months, and rapidly iterating on features based on user feedback.
Collaborated with Design, Marketing, Customer Relations, Content and other teams across several large-scale projects, but also on rapidly releasing smaller changes to specific deadlines.
Run user testing sessions (across a variety of different types of users) that informed upcoming feature development.
Worked with SPOs and contributed towards short-term roadmaps.

Get in touch!

Please get in touch if any of this sounds interesting to you! 📫

Thanks to anuraghazra for the stats!

Mark Phillips's Projects

advancedpacmandqns

Extensions of Deep Q Learning

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

alphazero_connect4

PyTorch implementation of AlphaZero Connect from scratch (with results)

atari-py

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

attention-dqn

Deep Recurrent Attention Reinforcement Learning in Atari

baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

blondemonk

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

connect-four-tensorflow

Connect four solver using neural networks and tensorflow

coverdrivecricket

Public release channel for CoverDrive Cricket

creative_coding

Base files to get you started

cricket-umpire-assistance

Cricket umpire assistance and ball tracking system using a single smartphone camera

customtouchcontrollers

deep-motion-editing

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

deepqnetwork

A modification of Google's Deep Q-Network to learn to play Super Mario Bros.

dqn-atari-tensorflow

Simplest Version of playing Atari with Deep Q Learning in Tensorflow

dqn-ddqn-on-space-invaders

Implementation of Double Deep Q Networks and Dueling Q Networks using Keras on Space Invaders using OpenAI Gym. Code can be easily generalized to other Atari games.