• Building a GPT-4 chatbot to answer user questions about 14 international cleantech companies, helping users
navigate offerings and make informed subscription decisions.
• Developing backend logic to analyze user behaviour and engagement patterns, aiming to assess interest levels and
predict likelihood of purchasing memberships.
• Implementing vector embeddings to restrict chatbot responses to relevant company information only, reducing
irrelevant queries by 90% and increasing accuracy.

• Designing a feature using OpenAI API and web scraping to aggregate and summarize health articles, aiming to
deliver 100+ AI summaries weekly for improved content accessibility.
• Planning a new React Native tab and article view to display curated health content with AI-generated insights,
targeting a 40% increase in in-app engagement.
• Developing a dynamic content feed using Node.js and Flexbox layouts, enabling real-time article updates and
mobile responsiveness across devices.
• Preparing integration of external article linking via the Linking API to allow users to open full articles in-browser,
enhancing content usability.

• Used C to build a command-line tool (called gcal) for managing reminders, allowing users to add, remove, and view
reminders for specific days.
• Used file I/O to save and load reminders from a file, enabling data persistence across 100+ program restarts and
preventing loss of reminders even in the event of crashes or interruptions.
• Developed a shell script (install.sh) to automate the installation and setup of the program, simplifying installation
for users and cutting setup time by approximately 75%.

• Developed a recursive algorithm to implement the computer’s AI decision-making system, enabling strategic
Tic-Tac-Toe gameplay for the user.
• Used a hash table with separate chaining to store game states (Win, Loss, Tie), which reduced collisions and
resulted in a game simulation up-to 5 times faster.

• Developed a real-time currency converter API using Flask, supporting 150+ currency conversions.
• Implemented web scraping with BeautifulSoup and requests to extract live currency data, ensuring conversion
rates are updated every minute.
• Delivered results in a structured JSON format, enabling seamless integration with third-party financial
applications.