A Full-stack developer passionate about AI/ML integrations and blending UX design principles toward building responsive web applications. Seasoned work experience with LLMs, front-end (JavaScript, TypeScript, React.js, Node.js), back-end technologies (PostgreSQL, MySQL, MSSQL, Express), and team collaborations (Agile, Sprints, Scrums).
JavaScript (ES6), HTML5, CSS3, SQL, SQLite, NoSQL, Java, Python, C#, PHP, Dart, Ruby, TypeScript
PostgreSQL, postgres, MySQL, Git, GitKraken, phpMyAdmin
Joomla!, Adobe Experience Manager (AEM), WordPress
gpt-3.5-turbo, YOLO Object Detection, Meta Llama, vaderSentiment, Sentiment, Mistral
Docker, Bitbucket, Jira
Node.js, React.js, Angular, Ajax, Express, EJS, Javascript Frameworks, jQuery, Ruby on Rails, SASS/SCSS, Leaflet, TensorFlow, Pandas, Android Libraries, Flutter Libraries, Processing, LangChain, Tailwind, Bootstrap
Mocha, Chai, Cypress with Electron, Jest, ESlint
D3.js, Vega.js, Vega-lite.js, Matplotlib Pyplot, Seaborn, Pandas, Numpy, Tableau (Software)
MongoDB, AWS Amazon Relational Database Service (RDS), AWS Cloud9 IDE, Render, Vercel, SupaBase, Azure
Expense Trend
AI Developer / Backend DeveloperCybersalt Consulting Ltd.
Web DeveloperExpense Trend Chatbot
A LLM developed for the Expense Trend App, to provide financial advice based on the user's calculated expenses and income. Interpolates the user's data and outputs its insights.
Tech Stack: Node.js, JavaScript, Express, Json, Mistral, MySQL, MSSQL, Azure, Docker
A deployed virtual pet game where you can feed, clean, play, train, and chat with it. Uses sentiment analysis to detect your tone toward the pet. Implements REST APIs.
Tech Stack: React, JavaScript, Express, EJS, SQL, vaderSentiment, Sentiment, Cloudinary, Git, Node.js, AWS RDS, MongoDB
An app developed to determine if a person is wearing a non-medical mask using the phone camera, in response to COVID-19.
Tech Stack: Java, Android Studios, TensorFlow, YOLOv2
Bachelor's of Science, SIAT
Simon Fraser University (SFU)