🚀 B.S. Computer Science @ Georgia Tech | Concentration: Devices & Intelligence

Specializing in autonomous UAV systems, AI-driven sustainability solutions, and advanced robotics programming.

• Developing CacheAI, an AI-powered recruitment platform leveraging Next.js, Supabase, and AWS to automate résumé screening and boost recruiter efficiency.
• Real-time turbine wake visualization algorithms @ Princeton University to optimize wind turbine placement using OpenCV and MATLAB by analyzing/mitigating turbine wake.

• Apply advanced AI techniques like CNN-LSTM models to analyze environmental data and develop innovative solutions to mitigate climate change.

• Deepening my expertise in aerospace control systems and autonomous vehicle decision-making to engineer next-gen UAV technologies.

✉️ [email protected] 🔗 LinkedIn | GitHub | [Portfolio Coming Soon]

• National Finalist & Sustainability Innovation Award, Samsung Solve for Tomorrow: Led the development of an AI-IoT model that addresses the issue of urban heat islands, earning national recognition as 10 teams (out of 2,500 entries) to solve pressing world problems.
• Deans List Semifinalist x2, FIRST Robotics: Led the programming of camera-based navigation systems that increased robot scoring potential by 65%.
• Stanley Black & Decker Applied Technology Award, Pacemaker Cybersecurity Project: Designed a Python and Raspberry Pi cybersecurity system that significantly improved malware anomaly detection for pacemakers.

Languages: Python, Java, JavaScript, HTML/CSS, MATLAB

Frameworks: TensorFlow, OpenCV, React, Node.js, Express, Next.js

Tools/Platforms: Docker, Git, GitHub, AWS, Supabase, Fusion 360