Shahab Sabahi
Principal Computational Engineer
Japan
Summary
Shahab Sabahi is a Principal Computational Engineer based in Japan with eight years of experience at the intersection of computational design, digital fabrication, and AI-driven workflows. He architects CAD-CAM agent systems and high-performance computing data pipelines that translate complex geometric models into machine-readable fabrication instructions for large-scale 3D printing. Previously he led AI research and productization efforts—designing LLM-powered reasoning agents and knowledge hubs—to transform enterprise workflows and manage R&D risk. His work blends hands-on algorithm and software development with systems thinking in BIM/CIM and fabrication workflow architecture. Known for bridging frontier research (DL, adaptive control, NLP) with production-grade tooling, he often focuses on the less-visible plumbing that makes automated fabrication reliable at scale. Fluent in both research and delivery, he combines a designer’s geometric sensitivity with an engineer’s rigor in orchestration and HPC.
7 years of coding experience
6 years of employment as a software developer
Github Skills (28)
prosody10
speech-processing10
voice-recognition10
mir10
transcription10
voice10
pitch10
simultaneous10
mfcc10
boundaries10
speech10
gmm10
noise10
entropy10
sounds9
Programming languages (2)
Github contributions (5)
Shahabks/myspokenlanguageid
Dec 2018 - Feb 2019
Contributions:25 commits, 21 pushes, 1 branch in 1 month
Guhanxue/Speech-Rater
Mar 2019 - Jun 2019
an ML & deep learning algorithms/models to assess spoken English language proficiency +++ it transforms sounds/language in a 3-dimension sphere and vectorizes the features on pronunciation evaluation, prosody evaluation, language evaluation
Contributions:128 commits in 3 months
tensorflownatural-language-processingspeech-processingproficiencyfeature-extraction
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