Moin Nadeem is a Co-Founder and machine learning engineer based in California with 10 years of experience building production ML and voice-AI systems. He currently leads Phonic, a Reliable Voice AI startup, after starting the NLP team at MosaicML as the company's eighth employee and onboarding its first Fortune 500 customer. His research background spans MIT CSAIL and Stanford—work that includes autoregressive generation, factuality in LMs, and an unusual project turning prompts into websites. An active open-source contributor, he improved training infrastructure in MosaicML's widely used composer library (LR schedules, checkpointing, object-storage loading, and BERT support), and has consulted for LLM startups on price/performance inference. He blends academic rigor with hands-on product and customer-facing engineering.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
Contributions:202 reviews, 55 commits, 94 PRs in 10 months
Contributions summary:Moin primarily contributed to the implementation of training-related components within the `composer` library. Their commits involved adding and improving learning rate scheduling algorithms such as linear decay and cosine annealing, as well as refining checkpointing mechanisms. They also introduced support for loading checkpoints from object storage and incorporated BERT models, demonstrating a focus on enhancing training efficiency and expanding the library's capabilities for deep learning tasks.
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