Pawel Sawicki

Machine Learning Engineer with 10+ years of experience building production-grade ML systems as well as enterprise software, while contributing to applied research in distributed systems, optimization, and computer vision.

Specialized in:

● Fine-tuning Small Language Models (SLMs)

● Data engineering, augmentation, and distillation

● Parameter-efficient fine-tuning (LoRA, QLoRA)

● Text-to-Speech (TTS) and Speech-to-Text (STT) model fine-tuning

● Model quantization and inference optimization

● Computer Vision and Context aware systems

● Distributed systems and resource-aware scheduling

Strong background in both academic research and industrial ML deployment.