Jun 2022 – Sep 2025 · 3 yrs 3 mos · Bellevue, Washington, United States · On-site

• The Enterprise AI team at Optum develops advanced machine learning and AI solutions for the most impactful problems across UnitedHealth Group's businesses. We work across the entire spectrum of healthcare, from benefits, pharmacy, finance, clinical operations, and value-based health care. Our goal is to leverage AI-ML to improve health outcomes, improve the health care consumer experience, and simplify health care processes. An integral part of our mission is the Responsible use of AI where we are building mechanisms, tools, and algorithms to ensure equitable outcomes, mitigate bias, and deploy AI solutions safely and securely. Another part of our charter is to enable the democratization and scaled adoption of AI and ML across the enterprise via a common set of ML platform capabilities.
• If this mission to bring broad impact to healthcare and help people live healthier lives through AI and ML excites you, please reach out. We are hiring globally at all levels.

Oct 2017 – May 2022 · 4 yrs 7 mos

• We are the science team building next-gen computer vision algorithms and services for AWS customers. My teams are engaged in cutting edge research in computer vision in the areas of recognition, segmentation, video understanding, document OCR and layout/semantic understanding. We translate our work into AWS services and platforms, such as Amazon Rekognition and Amazon Textract.

Nov 2014 – Oct 2017 · 2 yrs 11 mos

• My charter is to enable customers to search and discover products on Amazon through images. We leverage and create computer vision and machine learning algorithms such as deep learning, feature-based matching, segmentation, detection, tracking, and reconstruction. We create applications for recognition, matching, and visual similarity; and augmented reality and 3D on Amazon Mobile.

Jul 2013 – Oct 2014 · 1 yr 3 mos

• Define and execute technology research roadmap for GE Healthcare IT and GE Healthcare Services. Aligned research roadmap to business priorities and created R&D programs for internal and external (government, contract) funding. Owned all deliverables and drove execution for multiple research teams.

Jun 2011 – Oct 2014 · 3 yrs 4 mos

• Lead a group of 20 organized along research themes and GE business programs to develop algorithms and software to automatically quantify and interpret images.

May 2008 – May 2011 · 3 yrs

• Programmatic and technical management of a portfolio of research projects and a team of 15 applied scientists for developing image analysis, computer vision, data mining, and statistical analysis algorithms for medical imaging and informatics applications. Delivered multiple 510K approved software applications to GE's AW and PACS platforms.

Jan 2003 – Jan 2008 · 5 yrs

• Invent, prove out and prototype algorithms for medical image analysis applications such as segmentation and detection. Developed algorithms and delivered software libraries for applications such as 3D anomaly detection in lung and abdomen CT, plaque quantification and segmentation in coronary arteries, 3D cell segmentation in microscopy images, and recognition algorithms for video analysis.

May 2000 – Aug 2000 · 3 mos

• Summer research on deformable tracking of faces in broadcast-quality video.

May 1998 – Aug 1998 · 3 mos