Artem Prisiazhniuk

Document Analysis: - ML system design for local inference - Design and control of data collection, collaboration with domain experts - Information extraction from legal contracts with BERT-based models and LLMs - Fine-tuning and compressions of models (quantization, adapter training)

RAG applications UNIQA Project: - Sentiment analysis of app reviews - Project setup in Azure Also research and presentations

Consulting and Automatization: - Automatic information retrieval - EU Laws updates tracking Document Analysis: - ML system design with AWS - Document parsing and analysis with regular expressions - Local information extraction with open-source LLMs, prompt engineering - Fine-tuning and compression of LLMs (quantization and offloading) - LLM postprocessing and pipelining, format enforcing - LLM inference with TensorRT and Triton Inference Server

Specialization in Machine Learning and Applications