2025 – Now
Data and AI Engineer/Philips
Architecting scalable AI infrastructure, model-serving systems, and reliable deployment pipelines.
Work
Industry Experience
My path started in research, with work presented at ICCV and MICCAI. That foundation evolved into applied AI: real-time edge inference on portable devices and contributions to an FDA-cleared product. I work end to end, from problem framing and model design to optimization on constrained hardware and rigorous validation. I am now building AI systems that move beyond perception to reliable reasoning and action in real-world environments.
2020 – 2025
AI Research Scientist/Philips
Built real-time edge AI for detection, tracking, and classification, and translated research into deployable clinical systems.
2019 – 2020
Research Assistant/Rochester Institute of Technology
Developed deep learning pipelines for aerial perception and multispectral segmentation.
2019 – 2019
R&D Intern/Philips
Built early 3D analysis and synthetic-data pipelines that later scaled into broader AI programs.