Moin Nadeem is a Co-Founder and machine learning engineer with 11 years of experience building production-grade AI systems, currently leading Phonic to deliver high-quality, realistic voice agents. His background spans research and engineering—starting the NLP team at MosaicML, contributing training and checkpointing improvements to the popular composer library, and publishing work on autoregressive sampling at MIT CSAIL. He’s consulted for LLM-focused startups on cost- and performance-optimized inference and briefly pursued a PhD at Stanford researching prompt-to-website generation. Comfortable moving between research and product, Moin combines hands-on model training expertise with startup execution, and has a track record of onboarding enterprise customers and shipping scalable ML infrastructure.
11 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Massachusetts Institute of Technology
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.
Contributions:28 pushes, 1 branch in 5 years 8 months
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