Steven Ingram
Software Engineer at Google
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSteven Ingram is a software engineer and research scientist with 8+ years building high-performance AI systems, specializing in SW/HW co-design for distributed training and inference optimization across LLMs, CV, and recommendation models. He has driven production-focused research at Lightelligence and Meta—characterizing opto‑electric accelerators at up to 4096 devices and coauthoring the Check‑N‑Run checkpointing system that cut storage and bandwidth dramatically. Now at Google, he develops reproducible GenAI recipes and HPC pretraining tooling for open model families at scales up to 1024 GPUs. Equally comfortable in C/C++ and Python, he blends low-level systems engineering with deep learning frameworks (PyTorch, TensorFlow) to squeeze performance from novel hardware. His background in electrical engineering and hands-on FPGA/embedded work gives him a practical edge when bridging algorithmic innovation and deployable infrastructure.
8 years of coding experience
12 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at The University of Texas at AustinSensor Fusion Nanodegree, Sensor Fusion Nanodegree at UdacityEngineer's degree Electrical and Electronics Engineering, Engineer's degree Electrical and Electronics Engineering at Stanford University
Github Skills (28)
python10
statistics10
machine-learning10
large-language-models10
llm10
gpt10
data-science9
scikit9
scikit-learn9
gpu9
deep-learning9
data-analysis9
deprecated9
gpu-acceleration8
tensorflow8
Programming languages (3)
Github contributions (5)
gclouduniverse/reproducibility
Aug 2024 - Mar 2025
Contributions:23 reviews, 22 PRs, 30 pushes in 7 months
stingram/Simple-Problems
May 2020 - Apr 2024
Python and C++ Implementations of Solutions to Simple Programming Exercises
Contributions:1 PR, 72 pushes, 1 branch in 3 years 11 months
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