John Loverich
Machine Learning Engineer at Glodon Company Limited
Snoqualmie, Washington, United States
Summary
👤
Senior🎓
Top SchoolJohn Loverich is a machine learning engineer and applied scientist with 11 years of experience building production ML systems, research prototypes, and computational engineering software across industry and defense domains. He currently leads development of parametric design tools and applied AI research at Glodon, focusing on generative rendering, control nets, synthetic data, LLM applications and AI systems architecture for AEC/CAD workflows. Previously he developed end-to-end distributed training pipelines and vision models for Facebook Reality Labs and built GraphQL AI microservices and chatbots at Maana, demonstrating strength in both backend services and model training at scale. As a co-founder and earlier research scientist, he translated advanced numerical methods and novel neural architectures into deployable software, won multiple SBIR awards, and helped ship large C++ simulation codes. Trained as a PhD aerospace engineer, he blends rigorous computational physics background with practical ML engineering, often bridging high-performance C++ systems and modern PyTorch-based workflows. Based in Snoqualmie, WA, he brings a pattern of turning research into product features—e.g., synthetic dataset generation and text-to-texture pipelines—rather than just prototypes.
10 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD) Aerospace Engineering, Doctor of Philosophy (PhD) Aerospace Engineering at University of Washington
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
sentence10
bots10
image-generation10
voice10
neural-network10
nlp10
matching10
rasa10
python10
sms10
botkit10
dialogue-systems10
computer-graphics10
connected10
audio10
Programming languages (10)
Github contributions (5)
jloveric/high-order-networks-torch
Nov 2020 - Dec 2022
Contributions:51 commits, 10 pushes, 1 branch in 2 years 1 month
jloveric/SentenceSimilarity
Apr 2017 - Oct 2022
Javascript/Nodejs sentence similarity. Produces several measures of similarity based on fuzzy matching and a similarity matrix.
Contributions:52 commits, 8 PRs, 45 pushes in 5 years 6 months
sentencefuzzymatchingjavascriptfuzzy-matching
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