Carnegie Mellon PhD with success spearheading high-tech teams and operations. Hands-on experience driving AI/ML, software engineering, clinical trials, stakeholder buy-in, FDA regulatory and IP strategy. Commercialized innovative digital solutions leveraging cloud, IOT, robotics, computer vision, AR and VR platforms. Launched ground-breaking products for healthcare and sports into demanding real-world environments.KEY HIGHLIGHTS:✦ ANALYTIC: Expertise in AI/ML, pattern recognition, statistics, machine vision and medical imaging. Ran EMR/CMS data exploration, cleaning, analysis, modeling, visualization and mining.✦ SOFTWARE: Leveraged R, Python, SQL, C/C++, .NET, MATLAB, TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Docker, Kubernetes, OpenCV, CoreML, CUDA, Qt, JSON, and Tableau.✦ PROJECT: Led multi-disciplinary innovation teams from startups to Fortune 500 companies. Coordinated, experts, clinicians, scientists, software engineers, QA and operations staff.✦ QUALITY: Implemented HIPAA, SAMD, ISO 13485/9000 QMS, IEC 62304 Software Life Cycle, IEC 60601-1 Equipment Safety. Deployed JIRA, Confluence, GitHub, and Jenkins tools.✦ OPERATIONS: Incorporated MLOps and QAOps into devOps. Engineer-in-charge of operations teams for over 50 facility installations. Maintained state-of-the-art optical laboratories.✦ PLATFORMS: Architected embedded (Arm Cortex, VHDL), edge (Jetson), cloud/IOT (AWS/Azure), AR/VR (Unity, OpenGL, ARKit), sensing (RFID, IR/visible cameras), and robotic (C) platforms.✦ THOUGHT LEADERSHIP: Published about regulatory strategy, tele-health, digital pathology, cybersecurity, and AI. Authored technology road maps, product specifications, RFP responses and grant proposals.✦ INTELLECTUAL PROPERTY: Formulated invention roadmap for technology division involving 75% of staff. Exceeded the patent applications of 20K employee parent company. Delivered competitor IP analysis.
Listed skills include Robotics, Agile Methodologies, Cross Functional Team Leadership, Data Mining, and 25 others.
