Third-year Biomedical Engineering undergraduate building practical systems across biomedical sensing,
embedded hardware, physiological signal processing, computer vision and healthcare AI.
Biomedical SensingEmbedded Healthcare SystemsBiomedical Signal ProcessingAI for Healthcare
I enjoy working across the full engineering stack: sensing and electronics, embedded control and communication,
signal or image processing, intelligent algorithms, and system-level validation. My projects span human-centred
biomedical systems, EEG/BCI, medical imaging, computer vision, IoT monitoring, analog electronics and digital hardware.
Selected work
Projects
Projects are grouped by domain so the breadth of my work is clear without losing technical focus.
Human-centred sensing, feedback and interactive biomedical prototypes.
HCI · Biomedical
Smart Posture Monitoring Cushion (P.A.P.A.Y.A.)
Developed a real-time posture-monitoring cushion using eight FSR402 pressure sensors and ultrasonic backrest sensing, with vibrotactile feedback for slouch alerts. Achieved approximately 70% slouch-detection accuracy and designed the sensor-integrated enclosure in SOLIDWORKS.
2nd Runner-Up, Brainstorm 2025 · 95-person needs survey used to inform the design problem.
Developed and evaluated a PyTorch-based ultrasound image pipeline for thyroid nodule detection and benign/malignant classification, with an interactive Gradio interface.
Built a classical ML pipeline on the UCI Cleveland dataset with preprocessing, model comparison, 5-fold cross-validation and threshold analysis; logistic regression achieved 86.9% test accuracy.
Real-time visual inference, automation and perception-to-action systems.
Computer Vision · Robotics
Glove Rejection and Inspection Process (GRIP)
Developed a real-time glove inspection and classification system integrating YOLO/OpenCV inference, camera sensing, STM32-based control, embedded communication and SCARA robotic actuation.
Fine-tuned YOLO11s on 27,900 images for license-plate localization, reaching mAP50 0.918 and precision 0.956, then extended the pipeline with EasyOCR-based text extraction.
Co-developed a portable vaccine-monitoring system using ESP8266/ESP32-S3, DS18B20 sensing, ESP-NOW communication and configurable alerts. Contributed to wireless architecture, calibration, debugging and enclosure design.
Validated stable wireless transmission to approximately 30 m line-of-sight.
Independently developed an ESP32-based energy monitor using PZEM-004T sensing, embedded C++ firmware, MQTT communication, local display and automated Telegram/SMS threshold alerts.
Analog electronics, power stages, PCB-oriented design and digital hardware.
Power Electronics
Class-D Audio Amplifier
Designed and tested a Class-D amplifier with tone control, approximately 350 kHz PWM generation, MOSFET gate driving, LC output filtering, circuit simulation and PCB-level implementation.
Co-developed a microcontroller-free single-axis solar tracker using LDR differential sensing, op-amp-based analog PID control, LTspice simulation, PCB implementation and a SOLIDWORKS enclosure.