Sunnyvale, California, United States
AI Scientist and Full stack Machine Learning Engineer with core expertise in Explainable AI, Deep Metric Learning, Generative AI, LLMs, VLMs, Few-Shot & Zero-shot Learning, and computer vision. • 3 FDA cleared products. • Comprehensive experience in the development and deployment of machine learning pipelines, from data collection to inference on the cloud and edge devices. • Implemented MLOps best practices to streamline the machine learning lifecycle, enhance automation, ensure reproducibility, and optimize data scientist collaboration. • Spearheaded the development of a pioneering medical image analysis product, marking the first company globally to secure FDA clearance. • Proven track record in delivering user-centric product insights, adept at navigating ambiguous scenarios, and seamless collaboration with cross-functional teams in dynamic settings. • Established experience collaborating with key opinion leaders and efficiently managing relationships with a broad spectrum of internal and external stakeholders. • Expertise in medical image processing, spanning semantic segmentation, object detection, image classification, and anomaly detection. • Innovated a groundbreaking non-invasive device for monitoring micro-vascular blood perfusion. • In-depth understanding of the full product lifecycle, from requirement analysis and prototyping to clinical validation and FDA applications. Skills: Python, C++, Pytorch, Tensorflow, Keras, TensorRT, CUDA, OpenCV, Docker, Kubernetes, Triton, AWS, Sagemaker, GCP, Azure. Contact: [email protected]
• Developed Diffused Correlation Spectroscopy (DCS), a novel medical device to get continuous non-invasive relative blood flow without the need of contrast agents. • Studying the effects of Transcranial Laser Stimulation (TLS) on the change of cerebral blood flow and cerebral metabolic rate (CMRO2) for healthy adults. • Observe, conduct and assist in experiments using brain imaging techniques like fNIRS. • Data processing using tools like MATLAB, LabVIEW and SAS.
• Developed a wearable mobile cardiac telemetry system, a wireless monitor used to detect and analyze cardiac arrhythmias. • Developed a low cost, one lead sensor system capable of continuously monitoring the electrophysiology of the heart. • Research about signal processing techniques to detect myocardial infarction (heart attacks).