About Kyryl
Hi, I’m Kyryl. I help bring Machine Learning to life.
With over a decade of experience in machine learning and venture capital, I’ve dedicated my career to turning complex ML concepts into real-world solutions that drive results. From software engineering to building end-to-end ML business solutions, my journey has been driven by a passion for making ML accessible, practical, and impactful.
Professional journey
For over 10 years, I have been deeply immersed in the world of machine learning, blending technical expertise with a strategic business perspective. I have successfully built ML solutions, led teams, and advised organizations on maximizing the value of AI and ML.
Building real-world ML solutions
Developed ML infrastructures and data-driven products from scratch, helping companies innovate faster and gain a competitive edge.
Venture Capital expertise
Advised on strategic investments in AI/ML startups at Georgian, including the decision to back SurrealDB, a pioneering database company reshaping modern data management. Read more about the investment.
Thought leadership in ML
Published research at top ML conferences such as ACL, CVPR, and EACL, and frequently share insights through public talks, webinars, and my blog.
Leading at scale
Directed cross-functional teams in large enterprises and portfolio growth-stage companies, successfully deploying machine learning initiatives that transformed data strategies and achieved measurable business results.
These experiences inspired the creation of my “Machine Learning in Production” course, which equips data scientists and ML engineers with the practical skills to manage projects end-to-end, from infrastructure to deployment.
Public speaking
I’m passionate about sharing my knowledge with the community and have spoken at various industry conferences, webinars, and events. Here are a few of my recent speaking engagements:
- Removing complexity from your RAG application, Georgian, 2024
- Transforming The Retail Industry with Transformers, Toronto Machine Learning Summit (TMLS), 2023
- 10X Faster Machine Learning From R&D to Production, Toronto Machine Learning Summit (TMLS), 2023
- Panel Discussion: ML System Design for Constant Experimentation, RE•WORK, 2023
Publications and Research
Conference Papers
- 2024, ACL, LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
- 2022, CVPR, GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
- 2019, ACL, Large-Scale Transfer Learning for Natural Language Generation
Journal Articles
- Advanced Engineering Materials: “Unlocking the Full Potential of AI and ML: Towards Intelligent Additive Manufacturing Systems”, Wiley Online Library, 2023.
