• Joined hands-on cloud workshops each week: Attended Google Cloud Skills Boost sessions regularly, where I learned cloud technologies and built sample projects using Firebase, Firestore, and other Google Cloud tools in a real lab environment.
• Worked on a team project using Firebase and React: Collaborated with four teammates to create a note-taking app with live updates from Firestore, login/logout features using Firebase Auth, and a front-end made with React that worked well on different screen sizes.
• Took part in a hackathon challenge: Participated in the TechWeek ’23 Hackathon where I helped build a travel planner app that used Google Maps to show destinations, mark locations, and plan trips based on user input.
• Learned machine learning basics through GCP: Explored AI and machine learning by completing GCP and TensorFlow modules, where I trained small models, tested them, and deployed simple predictions using cloud tools.

• Managed weekly lab sessions for students: Held structured sessions for more than 60 students each week, covering important programming topics like recursion, graph traversal (such as depth-first and breadth-first search), and sorting algorithms like quicksort and mergesort.
• Gave detailed coding feedback: Reviewed assignments through GitHub Classroom and Gradescope, leaving comments on specific lines of code to help students understand where their logic or structure needed improvement.
• Made learning tools for extra practice: Created over five extra materials including quizzes and worksheets that matched class topics, helping students review and practice in their own time.
• Recorded help videos in Python and Java: Filmed and edited clear video guides explaining complex coding tasks, showing how to read the question, write the solution, and think through algorithms in both languages.
• Helped design a student mentoring system: Worked with the professor to launch a mentoring program where experienced students helped others; after testing, the new approach improved exam results by 15% and helped more students participate in class.

Relevant Coursework: Software Engineering, Cloud Computing, Data Structures & Algorithms, Computer Systems

• Designed a chatbot using Dialogflow to deliver local weather updates using GCP and OpenWeatherMap API.
• Deployed backend logic using Flask on Google App Engine with logs monitored via Stackdriver.
• Gained over 800 queries in the first month of release.

• Developed a web-based event scheduling app allowing users to sync, manage, and share calendars.
• Integrated Google Calendar API for seamless user authentication and event handling.
• Implemented real-time updates using Firestore listeners and Firebase Cloud Functions.
• App used by 150+ students during university event week.