Yasha Singh is a Machine Learning-focused Software Engineer with 10 years of experience building scalable ML systems and deep learning infrastructure across top tech companies including Meta, Amazon, and Apple. He has driven production work on LLM fine-tuning and multimodal models for Amazon Search, built model-repository and distributed training optimizations at Apple that cut GPU wait times and costs, and now works on ML engineering at Meta in Mountain View. Comfortable across cloud-native stacks and model formats (Torch, ONNX, CoreML, TensorFlow), he blends algorithmic rigor with systems engineering to deploy models efficiently at scale. Early research and internships in computer vision and bioinformatics show a long-standing practical interest in applying ML to constrained-data, real-world problems. Notably, he has a track record of reducing operational friction—designing asynchronous validation for checkpoints and deduplication services—that improves both resource utilization and model quality.
10 years of coding experience
5 years of employment as a software developer
High School and Intermediate, High School and Intermediate at Little Flower School
B.Tech Computer Science, B.Tech Computer Science at Dr. A.P.J. Abdul Kalam Technical University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
Contributions:12 commits, 10 pushes, 1 branch in 10 months
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Yasha Singh - Software Engineer, Machine Learning at Meta