Artificial intelligence,engineered with restraint.
Head of AI at SYMBOL
I design AI systems, automation and infrastructure that turn emerging technology into reliable business operations.
Intelligence should become infrastructure.
I work at the intersection of artificial intelligence, software architecture, automation and business operations.
My focus is not simply introducing new AI tools. It is designing the systems around them — the data, APIs, workflows, infrastructure and operational logic required to make artificial intelligence genuinely useful.
Currently, I serve as Head of AI at SYMBOL, where I lead the development and implementation of AI solutions across internal processes and business operations.
Vadim — Head of AI at SYMBOL
Kyiv, Ukraine
Areas of practice
Artificial Intelligence
Designing practical AI systems around real workflows, data access and operational constraints.
- —AI Architecture
- —LLM Applications
- —AI Agents
- —RAG & Retrieval Systems
- —Speech AI
- —Model Evaluation
Automation
Reducing repetitive work by connecting tools, processes and decision points into coherent workflows.
- —Business Process Automation
- —Internal Tools
- —Workflow Orchestration
- —AI Automation
- —System Integrations
Data & APIs
Building reliable interfaces between applications, business data and intelligent systems.
- —REST APIs & Webhooks
- —Data APIs
- —SQL & PostgreSQL
- —Database Architecture
- —Integration Layers
Infrastructure
Creating dependable environments for software and AI systems to run, integrate and be observed.
- —Linux
- —Docker
- —CI/CD
- —Monitoring
- —Networking
- —Self-hosted Infrastructure
Selected Work
Femida meetily
Privacy-first meeting intelligence for desktop.
Femida meetily is a desktop application for recording meetings, local transcription and AI-assisted summaries. It is designed around local-first processing and user control over meeting data.
The supported application is a self-contained Tauri desktop app. Next.js provides the interface, while Rust handles audio, storage, transcription, models and native integration. Local transcription is available through Whisper and Parakeet, with summaries generated locally or through explicitly configured external LLM providers.
Record
Capture microphone and system audio on desktop
Transcribe
Run local transcription with supported speech models
Summarise
Generate summaries using built-in or user-managed templates
Store
Keep meetings, transcripts, recordings and summaries locally
Selected systems remain private.
A significant part of my work involves internal business infrastructure and AI systems developed within confidential environments. Detailed implementation information is not publicly disclosed due to confidentiality obligations.
AI Systems
Automation
Data & Integrations
The model is rarely the system.
Modern AI products are often discussed as if the model itself were the product. In production, it rarely is.
A useful AI system requires an entire architecture around intelligence.
The quality of the model matters.The quality of the system around it matters more.
Data
Reliable information and clear domain structure
Access
Controlled interfaces between systems and data
Business Logic
Operational rules and constraints
Intelligence
Models, retrieval and reasoning where useful
Action
Outputs that connect back to real workflows
Observation
Monitoring, feedback and continuous improvement
Quiet technology.
Good infrastructure rarely asks for attention. It works.
Artificial intelligence should follow the same principle. It should not create another layer of complexity inside an organisation.
It should quietly improve how information moves, how people work and how decisions are made.
Prioritizing tangible operational utility over transient novelties.
Predictable execution with strict error boundaries under production load.
Cohesive architecture compounds value where isolated tools fragment effort.
Head of AI
at SYMBOL
Leading the development and adoption of artificial intelligence across business operations.
My work includes identifying opportunities for AI adoption, designing system architecture, evaluating models, integrating company data and building the infrastructure required to move AI solutions from experimentation into production.
F3MIDA
Artificial Intelligence & Systems Practice
F3MIDA is my independent technology practice focused on the architecture surrounding artificial intelligence.
The work spans AI, automation, data and infrastructure.
Not technology for its own sake.Systems designed around a purpose.