Lynsey Fabel
Senior Technical Writer at NVIDIA
Rocklin, California, United States
Summary
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Rockstar🎓
Top SchoolLynsey Fabel is a Senior Technical Writer with over a decade of experience creating developer-facing documentation for high-performance AI and systems software, currently owning docs for NVIDIA AI Enterprise, TensorRT Enterprise and related libraries. She combines deep technical fluency in C/C++ and Linux/Windows environments with hands-on experience writing sample code, API references, and programming guides that help accelerate adoption of complex deep learning frameworks. Prior roles at IBM show a track record of leading cross-functional teams, streamlining documentation processes, and modernizing delivery from print to interactive web help at scale. Her MS in Human–Computer Interaction complements a practiced ability to translate intricate engineering details into clear, usable content and multimedia tutorials. Based in Rocklin, CA, Lynsey brings both strategic documentation leadership and day-to-day technical authorship to developer ecosystems powering production AI.
5 years of coding experience
16 years of employment as a software developer
Bachelor of Arts (B.A.), English Language and Literature, General, Bachelor of Arts (B.A.), English Language and Literature, General at Santa Clara UniversityMaster of Science (MS), Human Computer Interaction And Technical Communication, Master of Science (MS), Human Computer Interaction And Technical Communication at Rensselaer Polytechnic Institute
Github Skills (28)
speaker-diarization10
notebook10
speech-to-text10
machine-translation10
tensorrt10
speech-synthesis10
multimodal10
large-language-models10
nmt10
runnable10
nvidia10
speaker-recognition10
asr10
natural-language-processing10
generative-ai10
Programming languages (3)
Github contributions (5)
nvidia-riva/tutorials
May 2022 - Oct 2023
NVIDIA Riva runnable tutorials
Contributions:59 reviews, 1 PR, 1 push in 1 year 5 months
end-to-endnvidianotebookspeech-recognitionriva
NVIDIA/GenerativeAIExamples
Sep 2024 - Oct 2024
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Contributions:4 reviews, 2 PRs, 1 branch in 1 month
gpu-accelerationlarge-language-modelsllmllm-inferencemicroservice
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