Software Engineer at Amazon based in Seattle, WA. I hold an M.S. in Computer Vision from the University of Central Florida and have 2+ years of experience building high-scale distributed systems and AI-driven automation solutions.
My expertise spans from building Kafka streaming components for banking platforms to optimizing AI-based fraud detection pipelines. I'm passionate about leveraging AI/ML to solve complex real-world problems at scale.
Built a pipeline using SDXL and Gaussian Splatting to generate 3D models from text. Achieved 22s inference on A100.
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Developed a label-free pharmaceutical identification system using ViT-based DiNO models. By leveraging self-supervised learning, I improved classification accuracy for pill varieties with minimal training data, optimizing it for real-world pharmacy automation.
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Benchmarked pretrained models across diverse datasets to optimize for real-world inference speed.
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