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As a Machine Learning Engineer at PayPal, I am passionate about facilitating and orchestrating the adoption of Generative AI tools and technologies in a safe, secure, and responsible manner across the enterprise to improve how PayPal can serve its customers. With over 6 years of industry experience and 6 years of research experience in Perception, Computer Vision, and Deep Learning, I have a proven track record of building large-scale complex ML products that scale. Previously, I was an Engineering Manager at Standard AI, where I led a globally dispersed team of engineers and researchers solving critical and complex problems in the domain of autonomous checkout and edge AI. I designed and implemented an automatic labeling system for ML model training, leading to a 10x increase in software deployments and cutting development costs by 85% ($1M YoY in savings). I also architected and designed systems for automated training, deployment, and management of machine learning models, resulting in over 90% operational cost reduction ($1M YoY in savings) and a 25% improvement in model accuracy. I have also worked in the field of autonomous vehicles, digital health, and biometrics applying advanced Machine Learning and Deep learning methods. I am a Senior Member of IEEE and have multiple patents and publications in ML and Computer Vision. Interested in: •Machine Learning •Deep Learning •Generative AI •Edge AI •Computer Vision •Scene Understanding •DNN Algorithm Development, Compression, and Optimization •Biometrics For more, refer to my resume: bit.ly/42L68jq
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