Jan Kanty, Principal ML Engineer, specializes in designing advanced evaluation and validation frameworks for AI systems. Among his notable contributions is the development of a “facial” recognition system for North Atlantic right whales, leveraging machine learning to support conservation efforts. With experience at global tech companies, he has a proven track record of solving complex challenges and is even willing to rewrite entire backends of AI systems to achieve optimal results. Outside of engineering, he channels his precision and creativity into cooking.

Katarzyna, Data Scientist at deepsense.ai, specializing in NLP and LLMs, with a focus on analyzing and evaluating machine learning systems to identify limitations and push their boundaries. Experienced in applying cutting-edge techniques to real-world challenges, including RAG on-device solutions and automating QA systems evaluation with LLM-as-a-judge. Outside of work, she enjoys figure skating and caring for her “zoo” of two cats and a dog.

Artur, as a seasoned NLP specialist with over 8 years of experience, is one of deepsense.ai’s experts in large language models and a technical leader across multiple LLM projects. As a leader, he prioritizes people over technology, therefore he eagerly contributes to AI Advisory projects and LLM Discovery workshops.. Beyond LLMs, he serves as the lead lyricist for deepsense.ai’s music band. After hours, he enjoys family time, sports, and trivia.

Mateusz, Senior Technical Leader at deepsense.ai, guides teams in building machine learning (ML) infrastructure tailored to client needs. With extensive experience collaborating with organizations of various scales, he has contributed to the design and delivery of solutions for training, deploying, and monitoring ML models. Mateusz focuses on aligning technical complexity and tools with client requirements to ensure efficiency and performance.

Maciej, Tech Lead Machine Learning Engineer, brings nearly 4 years of experience at deepsense.ai, leveraging expertise in classical machine learning, LLMs, and computer vision to deliver AI solutions. He has worked on projects such as real-time anomaly detection for telecoms, a voicebot system for healthcare, and synthetic-to-real image conversion using diffusion models. Prior to deepsense.ai, he developed ML-based pipelines for 3D object detection and financial time-series prediction.

Mateusz, Lead Machine Learning Engineer, specializes in developing production-ready AI applications and leading agile teams. With expertise in computer vision, Generative AI, and MLOps, he transforms prototypes into scalable solutions. Mateusz holds a master’s in Applied Mathematics from the Technical University of Lodz and a postgraduate degree in Deep Learning from the Warsaw University of Technology.

Patryk, as a Lead Machine Learning Engineer at deepsense.ai, applies his data science expertise to streamline business operations. While experienced across various domains, his primary focus lies in building models for tabular data. He works closely with business stakeholders to optimize areas like pricing and SKU planning. With a background in physics, he thrives on exploring complex topics, such as early work on RAG systems. A strong advocate for teamwork, he values the personal connections formed through collaboration.

Marianna, as a Senior Data Scientist at deepsense.ai, specializes in deep learning applications for computer vision. With nearly a decade of experience in commercial and academic settings, her work includes projects like document analysis using visual language models, wrinkle segmentation, face detection in specialized environments, crowd behavior estimation, and quality control. A co-author of high-impact scientific publications, she combines technical expertise with analytical precision and strong client collaboration. Outside of work, she values teamwork, continuous learning, and exploring new ideas.

As an AI Engineering Manager at deepsense.ai, Rafał leads the development of intelligent systems across industries such as in-silico drug discovery, FMCG, manufacturing, and telecommunications. With a career that began in the video game industry in 2009, he combines technical expertise with academic research, holding master’s degrees in finance and management and a PhD in management. His research focuses on human-AI collaboration in hybrid teams. Outside of work, he enjoys spending time with his family and helping his two sons explore the world.

Kamil, a Tech Lead at deepsense.ai, specializes in applied machine learning research and oversees end-to-end project execution. He integrates insights from research papers, customizes neural network architectures, trains models, and deploys them on edge devices, including optimizing performance with CUDA kernels. Passionate about innovation, he works on “Neural CPU,” a program synthesis approach, and explores human learning from sparse data. Outside of work, he enjoys traveling and playing old-school arena shooters.