• Developing cutting-edge AI applications using generative models like OpenAI GPT3/4, Gemini, llama/llama2, Nvidia Megatron, Bloom, and more.
• Consulting on AI strategies and data pipelines for businesses and public entities.
• Help startups and growth companies set up AI/ML features.

• Exploring the intersection of law and AI, focusing on legal aspects of generative models and intellectual property.
• Keeping up with the latest advancements in machine learning and natural language processing. Creating and deploying in production Agents using LLMs.

• ML projects involving NLP, recommendation engines, social media analysis, and other AI applications.
• Research initiatives related to legal aspects of AI and the ethical implications of AI technologies.

• Data Science, AI solutions, and machine learning techniques.
• Legal aspects of computer science and AI, including IP and blockchain-related laws.
• NLP applications, sentiment analysis, and information extraction.

• LinkedIn:Łukasz Augustyniak
• Email:aisolutions@lukaszaugustyniak.com

• I have a background in law and always wanted to merge my knowledge of law and AI.
• I enjoy exploring different cultures and environments and have had the opportunity to study and work in various countries, including Singapore, Spain, and the UK. However, I have been working entirely remotely since 2017/2018.

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1. awesome-sentiment-analysisawesome-sentiment-analysisPublic

   Repository with all what is necessary for sentiment analysis and related areas

   541 110

2. CLARIN-PL/embeddingsCLARIN-PL/embeddingsPublic

   Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

   Python 36 3

3. CLARIN-PL/LEPISZCZECLARIN-PL/LEPISZCZEPublic

   This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish

   Python 13 2

4. Brand24-AI/mms_benchmarkBrand24-AI/mms_benchmarkPublic

   The most extensive open massively multilingual corpus of datasets for training sentiment models. The corpus consists of 79 manually selected from over 350 datasets reported in the scientific litera…

   Jupyter Notebook 16

5. LLM-demo-2-productionLLM-demo-2-productionPublic

   The set of tools and examples for creating LLM-based solutions from demo to production

   Jupyter Notebook 1 1