Graduate Student Assistant
• Expertise in implementing ML models on Raspberry Pi embedded hardware using TensorFlow Lite while ensuring low-latency, real-time performance in data processing by scheduling RTOS.• Integrated sensors and optimized resource usage for efficiency learning the SoC and hardware peripherals. Validated and debugged systems for high reliability.• Studied ML principles like SVM, CNN, K-NN, K-means, GMM & Decision trees to on embedded systems using tinyML.• Proficient in ML algorithms… Show more • Expertise in implementing ML models on Raspberry Pi embedded hardware using TensorFlow Lite while ensuring low-latency, real-time performance in data processing by scheduling RTOS.• Integrated sensors and optimized resource usage for efficiency learning the SoC and hardware peripherals. Validated and debugged systems for high reliability.• Studied ML principles like SVM, CNN, K-NN, K-means, GMM & Decision trees to on embedded systems using tinyML.• Proficient in ML algorithms, data preprocessing, and opting for the right model for training Show less