Victor Trapenok — Founder
I’m a Principal Platform / Cloud Architect and founder-engineer with 14+ years of experience designing scalable SaaS systems, Kubernetes-based platforms, and developer infrastructure. My work focuses on turning fast-growing engineering organizations and early-stage products into predictable, cost-efficient, and scalable systems — reducing operational risk while increasing delivery speed and time to market. I’ve led large-scale platform transformations end-to-end, including migrating production backends to Kubernetes, cutting infrastructure costs by ~50%, and maintaining years of stable, incident-free operation. I design and own CI/CD and deployment strategies that reduce release cycles from days to minutes, enabling teams to move from a few releases per year to weekly production deployments without sacrificing reliability. In recent work, I’ve been building and operating AI-powered conversational products, focusing on the infrastructure and systems layer: scalable backends for LLM-based chat, request orchestration, cost control, prompt pipelines, and reliability under unpredictable traffic patterns. This includes production deployment of AI features, monitoring usage and latency, and balancing model quality against infrastructure and API costs. I operate at the intersection of architecture and execution — taking hands-on ownership, setting technical direction, and delivering outcomes without unnecessary process overhead. My focus is leverage: improving developer velocity, lowering operational risk, and making infrastructure boring and predictable. Engagement format: B2B / C2C via my own company. Remote-first. Clear scope. Clear metrics. No HR overhead.
Stackforce AI infers this person is a SaaS and AI Infrastructure Architect with extensive experience in cloud solutions.
Location: Almaty, Kazakhstan
Experience: 14 yrs 1 mo
Skills
- Cloud Architecture
- Ai Infrastructure
- Saas
- Devops
- Full-stack Development
- Machine Learning
- Platform Architecture
Career Highlights
- Led large-scale platform transformations with Kubernetes.
- Reduced infrastructure costs by ~50% through optimization.
- Delivered AI-powered products with rapid deployment cycles.
Work Experience
Imba-Dev
Cloud Architect (1 yr 2 mos)
Nanoheal
Principal Engineer (3 yrs 10 mos)
Staff Software Engineer (1 yr)
Cube Dev
Senior Software Engineer (7 mos)
Noveo Group
Senior Software Engineer (10 mos)
SANCOM
Machine Learning Engineer (1 yr 9 mos)
Individual entrepreneur
Senior Software Engineer (11 mos)
VST Consulting
Full Stack Engineer (3 yrs 9 mos)
worldpage.ru
Full-stack Developer (2 yrs 11 mos)
Education
Specialist Degree (Software engineer) at Far Eastern Federal University (FEFU)
secondary vocational education (Software engineer) at Primorsky Polytechnic College
Basic General Education at Secondary comprehensive school No. 66