We lead with engineering depth and production accountability. Each
lead owns a critical system layer and ships in real-world constraints.
Vladimir Artus
ML & AI Lead Engineer
AWS Certified ML Engineer and Kaggle competition expert with 11+
years building production ML and trading systems. Focused on model
quality under real-world constraints, from data pipelines to
deployment and monitoring. Hands-on delivery across finance and
applied AI.
- ML/AI system architecture and model lifecycle ownership
- Data pipelines, feature engineering, and evaluation metrics
- Decision intelligence and trading system design
- MLOps reliability, monitoring, and drift management
- Technical mentoring and R&D direction
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Dmitriy Hmurchik
Mobile & FE Lead Engineer
Mobile and front-end lead focused on user-facing systems that must
be fast, reliable, and consistent across platforms. Designs
product-grade interfaces, performance budgets, and delivery
pipelines that keep teams shipping. Aligns UX with measurable
business outcomes.
- Mobile architecture and cross-platform delivery
- Front-end platform strategy and design systems
- Performance optimization, accessibility, and QA
- Release management and stakeholder alignment
- Client-facing demos and feedback loops
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Alexander Sytiy
Backend Lead Engineer
Backend lead specializing in scalable, secure systems that power
data-intensive products. Designs APIs, integrations, and
reliability layers with clear ownership and SLAs. Brings a
production mindset to high-load services.
- Backend architecture and API design
- Data storage, integrations, and throughput planning
- Reliability, observability, and incident response
- Security, compliance, and access control
- DevOps alignment and deployment pipelines
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