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Łukasz Augustyniak

AI Solutions Architect and LLM Consultant

AI Solutions Architect and Data Scientist with over a decade of experience working on diverse AI projects in various domains, including but not limited to:
– To develop cutting-edge AI applications, working with large language models (LLMs), including OpenAI GPT3, ChatGPT, Nvidia Megatron, Bloom, and other state-of-the-art models.
– Social media monitoring to help companies track their brand reputation, analyze customer sentiment, and identify potential influencers and trends.
– Call center transcription analysis to optimize customer service operations, identify areas for improvement, and provide insights into customer behavior and preferences.
– Language modeling to improve natural language processing and understanding, making chatbots, virtual assistants, and other conversational interfaces more effective and personalized.
– Recommendation engines to help companies provide personalized recommendations, increasing customer engagement and loyalty.
– Information extraction from text to automate data entry and processing, reducing errors and freeing resources for more strategic tasks.
– Automotive data analysis to optimize performance and improve safety, using AI to analyze data from sensors, cameras, and other sources in real time.
– Time-series predictions to forecast future trends and patterns, enabling companies to make data-driven decisions and identify potential risks and opportunities.
– Image classification and object detection to automate processes.
– Speech recognition to automate transcription, enabling companies to extract insights and value from audio data more efficiently.

Skilled in understanding data sources and processes in business, designing AI and Data Strategies, and planning quality-assured data pipelines. Expert in data annotation processes, including definition, design, annotations, quality assessment, and monitoring for text, vision, audio, search engines, chatbots, and recommendation engines.

Currently finishing a Ph.D. in Machine Learning at the Wroclaw University of Science and Technology, Poland, focusing on aspect-based sentiment analysis. Holds an MSc in Computer Science from the Wroclaw University of Technology with distinction and an MA in Law from Wroclaw University.

Active interest in legal aspects of IT, including IP and Blockchain-related laws and regulations. Skilled in analyzing legal documents using NLP. Passionate about learning new things, taking on challenging projects, and discussing Data Science. Also, a lecturer at Wroclaw University of Science and Technology for the course – Legal aspects of AI.

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