Seonghyun Cho
Junior Data Scientist @Living Optics
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WORK HISTORY
Junior Data Scientist @Living Optics
End-to-End Tool Architecture: Designed and implemented the full-lifecycle architecture of an internal Analysis Tool, owning everything from high-dimensional data ingestion to model serving.• Forensic AI Development: Built a 1D-CNN-based blood detection system, integrating Spectral Unmixing (NMF) and Savitzky-Golay filtering for precision noise reduction in complex spectral data.• High-Performance Engineering: Architected distributed training pipelines using PyTorch DDP, achieving a 20x speedup in model iteration cycles.• Deployment Optimisation: Streamlined the R&D-to-Production transition by converting models to ONNX, significantly reducing inference latency and ensuring cross-platform interoperability.• Advanced Automation: Integrated SAM2 for automated segmentation workflows and applied BOHB for self-optimising hyperparameter selection.• System Interoperability: Engineered an ENVI-to-COCO configuration system, enabling seamless data flow between fragmented hyperspectral datasets and standard ML ecosystems.• Reliability & Scaling: Co-authored core spatial-spectral-ML libraries with rigorous unit testing, ensuring production-grade code stability.
EDUCATION
Korea University
Bachelor of Science - BS, Computer Science
Università di Catania
Computer Science
Korea University
Bachelor of Science, Computer and Information Sciences, General
Chung-Ang University
Master of Science, Artificial Intelligence
Korea AI Blockchain Convergence
Computer Science
Chung-Ang University
Master of Science - MS, Artificial Intelligence
ABOUT SEONGHYUN CHO
Hello! I am a Data Scientist and AWS Certified Machine Learning Specialist with a background in AI (MSc) and Computer Science (BSc).I specialise in turning complex research into scalable commercial solutions. From architecting multimodal learning systems to implementing rigorous MLOps and unit testing, my focus is always on delivering efficiency and data integrity at scale.What I bring to the table:Technical Mastery: Python (Expert), SQL, PyTorch, and AWS ML Stack.Research Depth: Expertise in Information Fusion, Late Fusion CNNs, and Statistical Validation.Business Impact: Experience in building automated analysis tools and high-precision predictive models.I thrive on innovation and building production-ready AI that solves real-world problems.Let’s connect to discuss AI, MLOps, or how we can drive value through data!
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