Justin Teeter
AI Consultant at Massed Compute
Lake Elsinore, California, United States
Summary
👤
Senior🎓
Top SchoolJustin Teeter is an AI consultant with 9 years of hands-on experience bridging embedded hardware and software for high-performance AI systems. A UC Santa Cruz graduate with multiple AS degrees, he has designed and verified an FPGA-based CNN accelerator that outperformed CPUs and GPUs and led NASA SUITS AR development creating AR interfaces and AI-assisted voice tools for simulated EVA missions. Proficient in C++, Python, Java, and SystemVerilog, Justin combines RTL design, SystemC simulation, and testbench automation with cloud and GPU compute advocacy to help researchers scale AI workloads. Based in Lake Elsinore, he pairs deep technical rigor with practical outreach—recently representing Massed Compute at generative AI events to match developer needs to GPU infrastructure. An uncommon strength is his ability to translate low-level hardware optimizations into deployable research infrastructure that cuts iteration time across teams.
9 years of coding experience
2 years of employment as a software developer
Associate of Science Computer Science for Transfer, Associate of Science Computer Science for Transfer at Norco CollegeUniversity of California Santa Cruz
Github Skills (4)
reservation-system7
data-structures4
java4
queue4
Programming languages (1)
Github contributions (5)
J3STER-58/CIS-18C-Object-Oriented-Programming
Feb 2019 - May 2019
Contributions:18 pushes, 1 branch in 2 months
J3STER-58/CIS-7-Discrete-Structures
Sep 2018 - Nov 2018
Contributions:12 pushes, 1 branch in 2 months
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