- Developed AI-driven predictive models for financial market analysis, achieving 74% accuracy in forecasting daily directions of top futures using methods from linear regression to advanced deep learning with Keras, time-series, and LLMs- Created an automated data pipeline that detects and corrects invalid data via API integration, ensuring accuracy in historical data for model training- Developed a RESTful API that processes stock market data, computes predictive variables, and delivers next-day market predictions through an accessible interface- Containerized predictive models into individual Docker images to accommodate different commodities and ensure efficient deployment and scalability of models across varying prediction needs

- Created visually appealing and responsive web pages using HTML, CSS, and JavaScript, while ensuring cross-browser compatibility and mobile responsiveness- Developed and maintained server-side logic and APIs using Python and FlaskImplementing and managing databases using SQL for efficient data storage and retrieval- Integrated front-end components with back-end services to optimize website performance and user experience- Keeping up-to-date with industry trends and best practices in full-stack development

- Engineered an AI-powered search engine for Forta Network, enhancing blockchain security bot discoverywith intelligent chatbot recommendations and a streamlined user interface- Utilized LLM to increase chatbot intelligence, delivering more relevant recommendations andaccomplishing 80% accuracy in correctly servicing blockchain security bot inquiries

-Managed a tech blog featuring diverse posts on coding topics learned in high school and various tech subjects of interest, combining educational content with engaging insights-Refined Search Engine Optimization (SEO) strategies to enhance blog exposure, resulting in a significant increase to 760k total page views and generating $12k in AdSense profit