- Lead server-side AI development and deployment, ensuring efficient, scalable, and secure integration of AI models into production environments.- Deliver end-to-end full-stack AI solutions, from backend architecture to front-end integration to ensure seamless user experiences.

- Mentor students in understanding technical interview questions and guide them in planning and implementing Python-based solutions.- Lead breakout sessions to foster a collaborative learning environment, ensuring active participation and retention of technical concepts.- Facilitate in-depth discussions on algorithm design and data structures to help students develop and refine their problem-solving skills.

- Evaluate and grade programming assignments for a Data Structures (COP3530) course of 50 students.- Demonstrate expertise in data structures and algorithms by thoroughly reviewing Java programs to identify bugs, logic errors, and implementation issues.- Provide detailed feedback to students, helping them understand and correct their mistakes in building and applying data structures.

- Collaborate with fellow interns to design and develop an educational game, focusing on customer discovery and creating prototype dashboard features.- Implement and test software solutions, iteratively improving based on user feedback and analytics.- Deploy and monitor a campus-wide educational game, driving student engagement and gathering performance metrics for future iterations.

- Developed multiple AI-driven applications including a Pantry Tracker, AI Customer Support system, AI Flashcards integrated with Stripe, and AI Rate My Professor.- Collaborated on team projects to engineer high-quality AI solutions while honing skills in web development, robust UI development, OpenAI technologies, and Stripe API.

- Chosen as one of 180 students to participate in Google’s “Tech Exchange”, a program designed to give access to cutting edge industry courses taught by Google engineers, including Applied Data Structures & Algorithms, Software Development Studio, and Careers in Tech.- Learned applied computer science skills in data structures, technical interviews, cloud computing, software testing and deployment, and project management.- Built an AI lecture assistant that integrated various technologies such as Streamlit, Gemini AI, and BigQuery and was deployed using Google Cloud and Docker.