PanasonicWELL is a visionary initiative by Panasonic aimed at enhancing the everyday well-being of families globally. Leveraging Yohana's successes and strategy, PanasonicWELL is poised to redefine family wellness through innovative solutions.

As an AI researcher, architect, and consultant, I am responsible for developing and executing AI solutions for financial, automotive, social media, government, and legal companies. With my extensive experience in consulting and due diligence of AI solutions, I have helped software houses build successful ML teams and create data science proofs of concept, roadmaps, pipelines, and productization steps.In my role, I have developed and led ML/DS teams, ensuring that data collection, data quality, and data annotation strategies align with project goals. I have also presented data science processes’ results to C-level stakeholders, helping them make informed decisions that drive business performance. I take pride in influencing business outcomes by developing data strategies that optimize performance and generate significant revenue.My skills in AI research, architecture, and consulting, combined with my deep understanding of business needs and data science processes, make me an essential asset for companies seeking to stay ahead in an increasingly competitive market. I am passionate about leveraging AI solutions to drive growth and deliver genuine business value.In addition to my expertise in developing and executing AI solutions, I also specialize in LLMs and their AI features in the product. I provide valuable insight and guidance to companies looking to integrate LLMs into their products, ensuring they utilize the latest technology and best practices. My knowledge of LLMs and their AI features enables me to consult with companies to develop effective strategies that optimize product performance and meet business needs.

I spearhead a cutting-edge initiative to revolutionize object detection in videos, leveraging advanced machine learning and computer vision techniques. My role involves overseeing the research and development of innovative AI models that can accurately identify and segment products within a wide array of video content.Key Responsibilities:- Strategic Leadership: I chart the course for the AI division, setting ambitious yet achievable goals aligned with InsBuy's mission to automate product identification in video media. My strategic planning ensures that we remain at the forefront of AI technology. - Research and Development: I direct a three-stage R&D program that encompasses the creation of foundational video segmentation and object detection models, methods for active data selection for annotation, and the fine-tuning and real-world testing of our AI models. - Project Management: I meticulously manage the project timeline, ensuring that each phase of our R&D—spanning from initial model development to real-world application.

I am privileged to teach "Legal, Social, and Ethical Aspects of Artificial Intelligence," a course designed for AI students at the master's level. The course covers imparting knowledge and fostering critical thinking among students about the rapidly evolving field of AI - from Intellectual Property (IP) rights through personal data and GDPR, blockchain, and smart contracts to the ethical and societal aspects of creating and productizing AI solutions.

CLARIN-PL-Biz - Common Language Resources & Technology Infrastructure - our team is responsible for building chatbots engines for the Polish language and creating Polish NLP leaderboard and benchmark (https://github.com/CLARIN-PL/embeddings).

Designing AI and Data Strategies.Leading team of dozen machine learning engineers, researchers, and annotators delivering numerous machine learning and data science capabilities powering Avaya Conversational Intelligence™ (ACI) - an end-to-end, cloud-based solution for real-time Spoken Language Understanding for call centers.Co-authored in-house ML models as well as proprietary algorithms for intent detection, named entity recognition, sentiment classification, punctuation and truecasing, semantic and similarity search, question answering, and many more.Owned processes of business problem scoping, cost and impact evaluation, data acquisition strategy, ML models reproducible training, deployment, and evaluation as well as the development of robust data pipelines and efficient serving of predictions.

Spoken Communications has been acquired by AVAYA. Design and implementation of AI-enabled solutions responsible for a reduction of transaction times, improvement of agent's productivity, and an increase in customer satisfaction. Implementation of state-of-the-art models for spoken language understanding.

Data Science for Edvantis clients: what they do, how they do it, how Edvantis we can keep improving their products with Data Science - defining the data science PoCs, MVPs, roadmaps, pipelines, productization steps, data strategies, - creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence the improvement of the business performance by enabling informed decision making,- building and leading a collaborative ML/DS team,- developing strategy and methods to ensure data collection, data quality, data annotation,- presenting results of Data Science processes and dealing directly with C-level stakeholders.

Design and implementation of state-of-the-art models for machine learning problems mainly but not only in NLP/NLU area. I am mostly working in Python if it is also needed in Spark.I consulted several ML-related projects and technologies via Wrocław University of Science and Technology for startups, banks, venture capitalists, manufacture companies and many more.

8lab created predictive analytics engine that enabled retails shops and petrol stations to increase sales using hyper-personalized offers and targeted advertisements.

Design and implementation of AI-enabled solutions responsible for a reduction of transaction times, improvement of agent's productivity, and an increase in customer satisfaction. Implementation of state-of-the-art models for spoken language understanding.Spoken Communication has been acquired by AVAYA

Aspect-based sentiment analysis using graph representations of knowledge, such as ConceptNet.

Continuation of works related to aspect-based sentiment analysis for news.

Aspect-based sentiment analysis for news, especially related to the understanding of attitudes towards Brexit.

Supervised learning and lexicon-based approaches to sentiment analysis task.

Comparison of various approaches to sentiment analysis for Polish, English and Spanish.

Sentiment Analysis Engine