A. Chernykh
VP, Platform Engineering at Machinify
Leading platform engineering at Machinify while scaling AI-driven B2B SaaS solutions and optimizing engineering processes.
Intro
I'm A. Chernykh, currently serving as the VP of Platform Engineering at Machinify. My career has been defined by a transition from founding roles and CTO positions to leading large-scale engineering transformations, including a significant tenure at Docyt where I scaled the team and pioneered AI-driven accounting intelligence. I am deeply passionate about the intersection of AI and automation, specifically how production-ready LLMs can solve complex financial and healthcare data challenges. I specialize in building high-performing, global R&D teams and transitioning monolithic systems into scalable, cloud-native microservices. Whether it's optimizing R&D output or saving millions in infrastructure costs, I focus on creating tangible impact. I’m always looking to connect with top-tier engineering talent or industry practitioners interested in how AI is reshaping the B2B SaaS landscape. Let’s discuss how we can push the boundaries of what's possible in platform engineering.
Networking
What I can offer
- ›Expertise in scaling engineering organizations
- ›Guidance on building AI-driven B2B/SaaS platforms
- ›Mentorship in distributed systems and microservices architecture
What I'm looking for
- ›Senior Software Engineers, Data Engineers, and DevOps professionals
- ›Accounting practitioners and CPA firms interested in AI scaling
- ›expanding my professional network
- ›exploring mutual opportunities in Platform Engineering and AI
Best fit for
Focus
Current interests
Core competencies
Background
Career
Progressed from Co-founder and CTO roles to Founding Engineer at Docyt, eventually rising to VP of Engineering before joining Machinify as VP of Platform Engineering.
Education
Master of Science (MS) in Computer Science, Kazan National Research Technical University named after A.N. Tupolev – KAI (2002 – 2007)
Achievements
- ›Expanded engineering team from 32 to 50 members at Docyt
- ›Increased R&D output by 28% through process optimization
- ›Saved over $1 million in recurring yearly AWS charges at Castlight Health
- ›Improved bookkeeping autopilot accuracy by 32% using OpenAI and HITL
- ›Built a photo social network used by 1 million users
Opinions
- Hackathons are vital for unveiling hidden talent and solving hard engineering problems.
- AI is a production-ready tool for specific problems like balance-sheet reconciliation, not just a buzzword.
- Fostering a culture of continuous improvement and hands-on mentorship is essential for engineering success.
Personality
Communication style
Professional, encouraging, and mission-driven with a supportive, team-first leadership voice.
Formality — 7/10
Vocabulary