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Wei Jiang
Junior Machine Learning Engineer specializing in MLOps and statistical modeling
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About
Integration engineer at ES Foundry who led deployment of ELsentinel, a production EL image-based solar cell quality monitoring system using a Swin Transformer classifier (>0.8 F1 across 15+ classes) plus a live real-time prediction dashboard. Strong in solving messy labeling/data-quality problems with process-team collaboration and shipping ML systems despite limited compute/infrastructure.
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Key Strengths
- Led production deployment of EL image classification system for solar cell quality monitoring
- Achieved >0.8 F1 score on 15+ class dataset using Swin Transformer
- Improved training data quality via detailed labeling rules and recursive label-cleaning process
- Delivered solution under constrained infrastructure (limited servers/GPUs) using local-network ingestion and low-latency inference
- Built live dashboard for real-time prediction visualization
- Effective collaboration with non-technical process stakeholders through domain-native communication and concrete examples
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