Andrey Semeniuk – Chief Data Scientist and a renowned expert in the development of cutting-edge AI and Big Data technologies. With a robust background in software development, Andrey has transitioned into a pivotal role where he spearheads the design and deployment of sophisticated Gen-AI systems and Knowledge Graphs using LLM (Large Language Models).

Key Contributions

• Andrey has mastered the creation of ‘Talk-to-your-data’ pipelines, allowing seamless interaction with data through natural language, transforming how businesses engage with complex databases and documents.
• He has been instrumental in crafting production-grade Knowledge Graphs based on text, enhancing data connectivity and accessibility, pivotal in sectors like finance and healthcare.
• Andrey designed and executed high-performance Databricks pipelines to enrich financial data, showcasing his ability to handle massive datasets with agility and precision.
• His expertise extends to configuring ML pipelines, incorporating Model Store, Feature Store, and Model Serving with Databricks MLOPS, ensuring scalable and efficient machine learning operations.

Notable Achievements

• Andrey led the development of an Azure Cloud Pipeline Framework on Databricks for unified data propagation across different layers in Azure Delta Lake, significantly boosting data integration and management processes.
• He has optimized high-load data pipelines capable of processing over 100,000 records per second, demonstrating his skill in handling extreme data volumes efficiently.
• His strategic setups of LangChain and ChatGPT configurations have advanced the use of conversational AI interfaces in real-world applications, setting new standards in the industry.

Technological Mastery

• Proficient in a myriad of technologies including Azure, Databricks, Spark, Python, and Scala, Andrey remains at the forefront of software and data engineering.
• His work with AWS, including setting up comprehensive data pipelines and asynchronous high-load systems, has markedly improved data utility and business intelligence for multinational corporations.

Andrey Semeniuk stands out as a leader whose deep technical expertise and innovative approach have significantly propelled advancements in AI and Big Data analytics, driving transformation across multiple sectors. His dedication to developing groundbreaking solutions is matched only by his commitment to fostering an environment of learning and innovation within his teams.

Pavel Salovskii — AI Technical Lead and Co-founder, with over 17 years of experience in IT and consulting. Pavel started his career as a Business Analyst in a consulting company.

Professional Achievements

Pavel’s products significantly contribute to cost reduction and process acceleration across various industries, including medical science, finance, LegalTech, and MedTech. He has successfully launched big data products for medical sciences, developed advanced systems for lead generation and risk scoring.

Leadership Qualities

Pavel currently leads a team of AI development and training at a major technology company. His team includes both seasoned data scientists and software developers, working on cutting-edge artificial intelligence projects.

Innovative Ideas

Pavel is actively working on realizing a unique idea — creating a product that combines OpenAI’s GPTCHAT technologies with proprietary developments in Large Language Models (LLM). This product will offer new capabilities not previously available in a single solution.

Mission and Goals

Pavel aims to develop a self-learning technology that is easy to use and fundamentally different from contemporary AI systems that require external training. His mission is to create value and impact through AI and machine learning, empowering his team and clients with the latest technologies and methodologies, including generative AI.

Iuliia Gorshkova is an experienced educator and technology leader with over 20 years in IT and education. Throughout her career, Iuliia has trained more than 3,000 students across various educational platforms, demonstrating exceptional results in knowledge transfer and skill development.

Technological Innovations

Iuliia developed a unique teaching methodology adapted for individuals with ADHD, which has also proven highly effective for a standard audience. This approach not only improved educational accessibility but also enhanced the quality of education for all students.

Leadership Qualities

For seven years, Iuliia successfully led QA automation teams on high-load IT projects, significantly improving product quality and market delivery speed.

Community Contribution

As part of the “Women in Tech” program, Iuliia conducts educational programs, including courses on testing. Thanks to her efforts, many women have not only changed their professions but also become influential ambassadors in the tech field, strengthening the role of women in IT.

Project Goals

Iuliia aims to create an educational platform that makes learning more accessible and attractive to students. She strives to reduce the cost of course production and provide students with more concentrated and relevant knowledge, enabling faster and more quality training of IT professionals.