George Sakhnovsky
Senior Build And CI CD Engineer at NVIDIA
Yerevan, United States
Summary
🤩
Rockstar🎓
Top SchoolGeorge Sakhnovsky is a Senior Build and CI/CD Engineer with seven years focused on build, release, and automation across bare-metal and cloud infrastructure, currently driving build work for NVIDIA’s CUDA Math Libraries. He blends deep Linux systems know-how, HPC and cluster experience, and pragmatic tooling—having built CI pipelines, provisioning environments, and HPC clusters for engineering teams at NVIDIA, Albany Engineered Composites, and Hoefler & Co. A hands-on manager-turned-engineer, he has grown and led CI/CD teams while continuing to contribute code and fixes to high-profile projects like NVIDIA NeMo (improving ASR models and analysis tooling). Delivery-oriented and self-directed, George pairs strong ownership with creative problem solving and a background in automation that surfaces in both infra and ML-adjacent work. Based in Yerevan, he brings an uncommon mix of SRE, release engineering, and model-focused contributions to production ML tooling.
7 years of coding experience
19 years of employment as a software developer
BA, Psychology, BA, Psychology at Brooklyn College
Stackoverflow
104reputation
2kreached
3answers
1question
Github Skills (25)
pytorch10
python10
large-language-models10
deep-learning10
generative-ai10
asr10
neural-network10
nlp10
data-analysis9
data-visualization8
data-visualisation8
dashjs8
data-visualizations8
gnupg6
shell6
Programming languages (3)
Github contributions (5)
NVIDIA/NeMo
Feb 2022 - Dec 2022
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Role in this project:
ML Engineer
ML EngineerContributions:27 reviews, 95 commits, 57 PRs in 10 months
Contributions summary:George Zelenfroind primarily focused on enhancing the NeMo framework's ASR capabilities, particularly through the addition of pretrained models for new languages. He implemented model comparisons in the Speech Data Explorer, enabling more in-depth analysis. He also contributed to documentation updates for the Comparison Tool, showcasing his involvement in both model development and user-facing tools. Furthermore, he fixed a bug in the Speech Data Explorer regarding custom data loading.
asrspeech-recognitionnatural-language-processingttsspeaker-diarization
Jorjeous/NeMo
Feb 2022 - Mar 2023
NeMo: a toolkit for conversational AI
Contributions:104 pushes, 4 branches in 1 year 1 month
nlpconversationalconversational-aichatbotnemo
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