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About Evgenii
I design and build distributed AI systems focused on real-world deployment.
My work includes multi-agent architectures, autonomous AI agents, local LLMs, GPU-assisted computing, business automation, decision systems and robotics-related environments.
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I am currently developing BotZaVOD, a modular AI platform that brings together multiple specialised systems and operational workflows under one architecture. My focus is on practical implementation, system integration and building AI that can operate across different business and technical environments.
Professional profile
- Location
- Nha Trang, Vietnam
- Time zone
- Asia/Saigon
- Work mode
- Remote
- AI experience
- 3+ years
- Languages
- Russian
- Working hours
- 09:00–18:00, Mon–Fri
- Available in
- Vietnam, Singapore, United States, United Kingdom, United Arab Emirates, Australia, Germany
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
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What Evgenii builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Agentic Workflows
Autonomous Agents
Decision Intelligence
Multi-Agent Systems
Robotic Process Automation (RPA)
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
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Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agentic Workflows
- Autonomous Agents
- Decision Intelligence
- Multi-Agent Systems
- Robotic Process Automation (RPA)
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Cloudflare
- FastAPI
- Ollama
- OpenAI Platform
- Python
07
Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Cross-Industry / Horizontal
Builder declared
Data & Analytics
Builder declared
Industrial Equipment
Builder declared
IT Services & Systems Integration
Builder declared
Smart Cities
Builder declared
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Trust & verification
A closer look at how this profile and its evidence are reviewed.
Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
Verified Builder
Independently reviewed by AI Deploy Labs against the platform Evidence Standard.
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
Professional record and further evidence
Client Portfolio
Portfolio startedCommercial Cleaning Services Company
ConfidentialAI-Powered CRM and Tender Automation • Facilities Management
Russia2026Built an AI-assisted workflow as an intelligent layer on top of the client’s existing monolithic system. The AI analysed incoming requests and tender opportunities, extracted relevant information, and sent structured numeric values to the monolithic server. The existing production system then used those values to classify and route opportunities by service type, reducing manual review work while preserving the client’s established workflow.
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