Hello World! My name is Philippe, and I hold a Master's degree in Computer Science from the University of Exeter. I am currently working as a Quantitative Technologist at QRT.
In my leisure time, I love exploring new tech, working on innovative projects, and contributing to open-source initiatives. I'm always eager to connect and collaborate with like-minded individuals within the tech community.
During the Russian invasion of Ukraine, I had the opportunity to work on an investigative piece that analyzed the effects of EU and American sanctions on the corporate bond market. Amidst the sanctions, we observed that numerous companies were relinquishing their trustee responsibilities for bonds associated with Russian firms like Gazprom, Lukoil, and Phosagro.
In the course of our research, we discovered a previously unknown company that was rapidly taking over the role of trustee for almost all of these bonds. Our investigation revealed that this organization was, in fact, a two-man operation based in London. Exploiting a legal loophole, they were able to act as trustees in the UK corporate bond market.
Collaborating with my news colleagues, we confirmed that the government would soon prohibit trustees from conducting business with Russian companies. Our findings contributed to a Bloomberg article that made it to the top three stories on that day!
I am excited to share one of my recent projects, Cryptick – a simple yet functional cryptocurrency price and chart display. The device is built around an ESP32 microchip and features a 4.7-inch e-paper display, providing regular updates on the latest cryptocurrency prices and values, refreshing every 5 minutes to keep users informed.
Cryptick's design is compact and energy-efficient. Powered by a 18650 battery, this small device has a battery life that can last up to a week without charging, making it convenient for everyday use.
While still a work in progress, I hope to open-source Cryptick soon, allowing other enthusiasts and developers to collaborate and further improve the project.
Technologies used: ESP32, C/C++, Fusion 360, 3D Printing
QlndR is a QR Code generator for events and appointments. Scanning these QR Codes automatically adds the event on your calendar.
Technologies used: HTML, CSS, ReactJS, Nginx, Python
FaceRemix is a web application project designed to allow users to upload their own photos and transform them into unique, artistic profile pictures. The app utilizes stable diffusion's take on Dreambooth to recreate images in a variety of styles, such as famous paintings. The primary goal of this project is to showcase the creative possibilities that modern image processing techniques can offer, enabling users to explore different artistic styles with their own photos.
Technologies used: HTML, CSS, JavaScript, Django, Python, Google Cloud Computing, Stable Diffusion/Dreambooth, Stripe
Macarons Michaela is a website designed to showcase the delightful, made-to-order macarons created by my mum, Michaela. The website highlights the quality and attention to detail that goes into crafting these delicate treats, while also providing visitors with essential information such as contact details, ordering instructions, and pricing. The clean, user-friendly design allows customers to easily navigate the site and appreciate the exquisite macarons on offer.
Technologies used: HTML, CSS, JavaScript, Bootstrap
Stories of Covid was a website project launched in early 2020, shortly after the beginning of global lockdowns due to the COVID-19 pandemic. The website served as a public platform for individuals to share their personal experiences, thoughts, and emotions during these unprecedented times. By collecting and preserving these stories, the website aimed to create a valuable resource for future generations to better understand the impact of the pandemic on people's lives and to foster empathy and community spirit during challenging times.
Technologies used: HTML, CSS, JavaScript, Python, Django, SQLite
TweetBonsai is a website project developed prior to the rise of ChatGPT, designed to generate tweets based on a user's desired subject context and mood. Leveraging a large language model, the website produces creative and engaging tweets tailored to the user's preferences. TweetBonsai demonstrates the potential of natural language processing and its ability to create unique, context-aware content for social media platforms.
Technologies used: HTML, CSS, JavaScript, ReactJS