Ashwin Pathak is a Machine Learning Engineer with a decade of experience applying NLP, CV and generative models to real-world products, currently based in the San Francisco Bay Area. He has delivered production ML at scale for Trust & Safety—using contrastive learning, active learning and retrieval-augmented generation—to measurably improve action rates on misinformation tasks. A Georgia Tech MS in Computer Science with a ML specialization complements a strong engineering foundation from IIIT Hyderabad and multiple production roles at Amazon and TikTok. His background spans research and product: from AR and novel-view synthesis to clinically oriented ARDS detection and unsupervised conversation summarization. Equally comfortable writing Java/Python/C++ services and deploying deep models, he excels at breaking complex problems into modular, production-ready systems while cutting annotation costs via targeted active learning. Colleagues would note his rare blend of hands-on ML research and full-stack production experience that accelerates model impact.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Bachelor's degree Computer science and engineering, Bachelor's degree Computer science and engineering at International Institute of Information Technology Hyderabad (IIITH)
Contributions:1 PR, 50 pushes, 20 branches in 6 months
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Ashwin Pathak - Machine Learning Engineer at Apple