Enable future video conferencing solutions on the edge through novel and robust AI technologies- Be responsible for complete software product development cycle from research, prototyping to optimization, deployment, testing, monitoring and maintaining machine learning systems.- Benchmark machine learning models and systems with representative dataset and tools.- Explore use cases of vision-language Large Multimodal Models (LMMs).

Lead the development of AI solutions for HP's Microfluidics Initiative. - Lead a multi-disciplinary team of HP Labs researchers, Product Engineers, and Software Developersthat design, develop, and deploy state-of-the-art AI solutions. - Initiated and supervised a university research collaboration. Developed novel image segmentation,recognition and object tracking solutions. Bench-marked with state-of-the-art technologies. - Managed the effort of identifying potential applications for our novel 3D live-cell imaging technology. - Supported the next generation products and creation of new microfluidics business through delivering advanced AI solution for cell video analytics.

Supported HP’s Immersive Computing Business, by developing new document recognition and 3D object recognition technologies, and building prototypes with software developer team in China.- Expanded HP Sprout’s product feature list with a 3D object recognition solution.- Enabled the immersive learning platform in HP Sprout through document image recognition and retrieval technologies. It was showcased in industry leading venues such as Frankfurt Book Fair and British Educational Training and Technology Show.

Developed a novel low-cost structured Light 3D scanning solution, with definition of the hardware requirement for the projector-camera system, a newly designed pattern and algorithms for reliable 3D surface reconstruction.

Developed a solution for document image perspective distortion correction of images captured with mobile phone cameras.

Designed a novel composite target and algorithm suite for quantitative image quality assessment of low-cost cell-phone cameras.