• Built a custom content management system (CMS) enabling administrators to manage pages, videos,
announcements, and site content.
• Implemented a secure backend interface for content editing, publishing, and contact form handling.
• Integrated the TinyMCE rich-text editor to allow non-technical users to create formatted content.
• Developed a custom template engine to process reusable layouts, custom tags, and page structures.
• Implemented multi-language support, an integrated Google Calendar, and a custom-built search
engine.
• Created custom frontend sections of the website including sliding images, content boxes, and video
listings.
• Designed a responsive frontend using Bootstrap and custom CSS.

• Created a secure admin/user interface for individuals to add, edit, update, and delete family members
and their relationships.
• Built a persons and relations table to link persons with their relatives.
• Implemented a dTree JavaScript module to display persons in a seamless and navigational way.
• Allowed admins to update settings and global environment variables for the entire website.
• Created a chatbot using information from a MySQL database with LangChain.
• Designed a responsive frontend using Bootstrap and custom CSS.
• Built a secure contact form with reCAPTCHA

• Users complete a registration process that includes sign-up, account verification, and re-login. Session
variables track authenticated users, allowing secure movement between pages after logging in.
• Built using object-oriented design principles, including polymorphism, abstraction, inheritance, and
encapsulation.
• Stored chats and messages in a relational MySQL database.
• Created a chatbot using messages stored in a MySQL database
• Used Langchain Prompt Engineering to generate descriptions and responses to user messages.
• Used JavaScript and AJAX to display new messages and chats.
• Built with a responsive frontend using Bootstrap and custom CSS.

Backend:
• Implemented a Laravel MVC backend with authentication, routes, controllers, and views.
• Synchronized API-fetched JSON data into a relational MySQL database.
ML/AI:
• Designed an ML model to predict future water levels based on projected wind, rain, and temperature.
• Used Python, Pandas, NumPy, and scikit-learn to build the model based on information collected via a
REST API.
• Integrated atomic agents and langchain to create AI summaries for projected water levels
Frontend:
• Built a user-facing React frontend styled with Tailwind CSS and Bootstrap, using backend APIs to display
responsive dashboards and forecast views.
API-Integration:
• Automated API data collection via cron-scheduled Laravel Artisan commands, stored in a relational SQL
database.
• Developed RESTful API endpoints to expose forecasting results, station data, and historical trends in
JSON and XML formats, with enforced request validation and authorization.
Dev-Ops:
• Packaged, shipped, and ran applications using Docker, leveraging Docker images, Dockerfiles, the Docker
Engine, and container registries.
• Used Jenkins to implement CI/CD pipelines for automated build, testing, and deployment workflows from
Git repository.