At BTS Digital, I designed and trained a custom OCR architecture in PyTorch, raising validation accuracy from 75% to 95%. I also built a multi-GPU training pipeline and a synthetic-data generator that produces more than 500,000 labelled images.
I fine-tuned vision-language models for face anti-spoofing, reducing HTER from 5.0% to 1.3% on production validation data. I also exported models to ONNX Runtime and set up reproducible GitLab CI/CD promotion.

