Experience

• Solved 3D spatial reconstruction problems by designing a multi-sensor system with 4 Azure Kinect cameras and RabbitMQ messaging, creating a real-time 360° volumetric capture system at 30 FPS.
• Addressed storage limitations by implementing custom compression algorithms, reducing data requirements by 91% (100GB to 9GB) while maintaining reconstruction quality.

• Led development of a file management app using Svelte, Tauri, Python and Rust, reducing digital clutter by 30% and saving users 45 minutes weekly in file searching.
• Tackled file classification by implementing ML-based algorithms with custom rule engines, achieving 80% sorting accuracy and processing 500+ files simultaneously.

• Identified learning gaps for 25+ students by developing personalized assessments and adapting teaching styles, resulting in 99% satisfaction and 18% grade improvements.
• Addressed complex CS concepts by creating visual materials and interactive exercises, enabling 80% of students to independently solve similar problems afterward.

• Instructed C, Java, and Python to 600+ students by providing code reviews and technical guidance, resulting in 15% higher assignment completion rates and positive evaluations.
• Addressed confusion in data structures by organizing 20+ review sessions with materials on algorithms and recursion, helping 50+ students gain confidence in complex programming.