A custom-built quadruped robot combining 3D-printed legs, Raspberry Pi control, and AI-powered vision with wake-word detection and speech recognition for real-time voice interaction.
A physics-driven mobile maze game using IMU tilt controls, three handcrafted levels, dynamic obstacles, and tap-to-collect interactions—all built in Unity.
Designed to streamline financial analysis and reporting, this system automates data processing, AI-driven insights, and Power BI visualization for business decision support.
Built to support cognitive neuroscience experiments requiring memory recall assessment and EEG recording, this task challenges users to memorize object patterns and locations, then recall them from memory.
Migrated the task from Python to C# to run in Unity VR, enabling cognitive experiments integrating both EEG and eye-tracking data collection with a VR headset.
Developed to demonstrate real-time animal image classification using a TensorFlow CNN model and a user-friendly interface.
Designed to streamline medical image preprocessing and augmentation, featuring an interactive interface.
Commissioned autonomous forklift systems for global manufacturers, bringing together network setup, 3D mapping, route planning, and PLC integration. Led on-site troubleshooting and customer training to support reliable operation.
Built interactive image annotation tools and accelerated segmentation workflows, making image labeling more consistent across views and faster to process.
Developed a multimodal model combining MRI scans and blood biomarkers to assess Alzheimer’s disease. Also accelerated 3D MRI segmentation model training while preserving accuracy.
Conducted pre-scan checks, prepared patients for MRI procedures, assisted physicians in precise positioning, and configured the MRI machine’s starting parameters.
Engaged visitors with educational demos on robotic technologies, promoted company products to hospital directors, and established key contacts for future collaboration.
Connected robotic technology demonstrations with operational improvements, turning customer feedback into actionable plans and building a data model to streamline inventory tracking.
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