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Gladdis is an original open-source AI chatbot plugin for Obsidian, a popular note-taking and knowledge management application. The plugin transforms Obsidian's second brain into a dynamic tool, enabling it to write, listen, draw, and even develop multiple split personalities.

Able to operate from any open Markdown file in Obsidian, Gladdis appends the LLM's responses to the conversation window. It supports audio file transcription through the Whisper API and can automatically load text files when WikiLinked, making it a breeze to provide context and reference materials.

Gladdis' distinguishing feature is the ability to create system prompts with distinct personalities. Users can name their system prompts and use FrontMatter to choose who to talk to, paving the way for creating a council of experts once AI-to-AI communication is implemented.

This project demonstrates my skills in developing unique AI solutions and designing powerful user interfaces. It also highlights my proficiency in integrating with APIs, my expertise in JavaScript/TypeScript, and my ability to implement complex features involving extensive parsing.

GladeJS is an innovative open-source front-end framework I developed to streamline and optimize web development. It is a unique blend of Marko.js, a user-friendly UI library from eBay, Rollup.js for efficient bundling, and Eleventy for static site generation.

The framework's core feature is its unique bundling approach. GladeJS intelligently traces CSS and JavaScript components across pages, creating unified bundles for pages sharing the same CSS. This method significantly enhances web performance and reduces load times.

GladeJS is designed to be versatile and adaptable, supporting a wide range of front-end reactive JavaScript libraries, including React, Vue, Svelte, and more. It also accommodates various templating languages and style languages, making it a comprehensive tool for web development.

This project showcases my ability to develop innovative solutions in the Node.js ecosystem, my expertise in various front-end technologies, and my commitment to improving web performance. It also reflects my ability to develop tools that simplify and enhance the overall development experience and process.

The complete overhaul and migration of a major eCommerce website, which serves as a one-stop-shop for all data center needs in France. The original site, built using Python and Django, was not meeting the client's needs due to its lack of a user-friendly administration panel and mobile compatibility.

I led the migration to a WordPress and WooCommerce-based architecture, ensuring a seamless transition of over 10,000 inventory items without any data loss. I also implemented a mobile-friendly design, enhancing the site's accessibility and user experience. The new site features a comprehensive administration panel, enabling clients to manage their extensive inventory easily.

One of the standout features implemented was a 3D, 360-degree navigation tool providing a virtual tour of a server room. This innovative feature allows users to click on items within the 3D environment to view product details and make purchases. This project demonstrated my ability to manage complex migrations, develop user-friendly eCommerce solutions, and implement innovative features to enhance user engagement.

Tasked with elevating an internal platform to a Progressive Web Application, I focused on revamping the system used by operators to manage a complex and extensive database, tracking storage, sales status, and reimbursements. With a Ruby on Rails back-end and a React front-end, the application was engineered to manage a large-scale NoSQL database, ensuring robust performance and scalability.

I led the modernization of the front-end, transitioning the existing codebase to a more component-based architecture, which significantly reduced code repetition and improved maintainability. My work also included the integration of modern browser APIs and the implementation of a responsive design, ensuring device compatibility and aligning with the latest web standards.

On the back end, I integrated specialized payment APIs, bolstering the platform's transactional functions, and contributed to the overall improvement and addition of capabilities. This project showcased my comprehensive skill set in web development, from crafting sophisticated user interfaces to integrating complex back-end systems.

This project produced command-line utilities designed to automate the process of updating our data ingestion system whenever Amadeus, a leading global distribution system for the airline industry, released updates to their flight passenger data specifications. The specifications, provided in Excel format, detailed the structure and format of the data, which was delivered in a complex, non-standard binary format.

My tool parsed the Excel-based specifications and auto-generated the corresponding Java source code required to ingest the updated data into our Oracle SQL database. This significantly reduced the time and effort required to adapt our system to specification updates, transforming a process that could take up to a month of manual work into an automated task that could be completed in an afternoon.

This project demonstrated my ability to develop innovative solutions to complex problems, significantly improving the efficiency and reliability of our data ingestion process. It also highlighted my skills in working with complex data formats and developing automated code-generation tools.

The development of a suite of services designed to automate and streamline the ingestion of complex flight passenger data from the Amadeus service, a leading global distribution system for the airline industry. The data, delivered in a non-standard binary format dating back to the early days of commercial aviation, was parsed and immediately ingested into an Oracle SQL database for further analysis and exploitation.

My primary contribution was the implementation of a real-time analytics dashboard using Elasticsearch and Kibana. This dashboard provided a comprehensive overview of the ingestion process, including system performance metrics and data integrity checks. It enabled managers to monitor the process in real-time, ensuring regular intervals of data ingestion and identifying potential issues such as data anomalies or system performance bottlenecks.

This project significantly improved the efficiency and reliability of the data ingestion process, providing valuable insights into flight operations and passenger data. It demonstrated my ability to work with complex data formats, develop efficient data processing utilities, and implement real-time analytics dashboards.