Ship reliable AI. Invest with confidence.
I help teams ship production AI – and help investors evaluate AI/ML companies fast.
For VCs / PEs
AI/ML Tech Due Diligence
- Risk assessment: Architecture, security, scalability gaps
- Team evaluation: Technical leadership and capability audit
- Cost & reliability: Operational sustainability analysis
For Builders
Courses
- Practical, hands-on training in ML/LLM systems
- Mini-courses you can finish quickly
- Agents course coming soon (waitlist)
VC/PE Services
Productized technical diligence and portfolio support for venture and private equity firms
48-hour AI/ML Tech Triage
Best for: screening / pre-IC
Quick assessment to identify critical technical risks and opportunities
Tech DD Sprint (1–2 weeks)
Best for: full diligence
Comprehensive technical due diligence with detailed deliverables
Portfolio Value Creation (retainer)
Best for: post-invest support
Ongoing support to optimize ML systems and drive portfolio company growth
We’re productizing Tech DD
I’m turning the repeatable parts of AI/ML diligence into a toolkit: scorecards, templates, and structured workflows – so teams can move faster with consistent quality.
Thanks – you’re on the DD Toolkit waitlist.
Courses
Machine Learning in Production
Comprehensive course to master the end-to-end ML processes.
Infrastructure
Part of the “Machine Learning in Production” course. Learn to build and manage ML infrastructure with Docker, Kubernetes, and CI/CD.
Data
Part of the “Machine Learning in Production” course. Master data storage, processing, versioning, and labeling for ML projects.
About me
👋 I’m Kyryl, a seasoned ML professional and venture fund expert who bridges engineering and business. I’ve worked with high-growth startups, large enterprises, and VC firms, helping over 40 companies increase their ROI by implementing practical ML solutions. I bring a unique perspective that combines both technical and business expertise, making my training highly actionable and relevant.
My course, “Machine Learning in Production”, has transformed the careers of hundreds of data scientists and ML engineers by teaching them the full ML lifecycle – from concept to deployment and beyond. While my research has been published in top ML conferences like ACL, CVPR, and EACL, my passion lies in real-world applications that drive results.
Ready to get started?
Whether you need technical diligence or want to master production ML
For VCs, PE firms, and teams • For individual learners