Main goals
- Expanding work in AI & Machine Learning
I want to become more deeply involved in projects based on artificial intelligence — from building models to deploying them in production. I’m especially interested in automation, data analysis, natural language processing, and decision support. - Agent AI & task automation
I plan to experiment with AI agents (assistants, bots), integrations between systems, and automation of repetitive tasks. The aim is to build tools that support development, operations, and business teams — saving time and reducing errors. - System and tool integrations
I’m striving to create cohesive, flexible ecosystems where cloud platforms, on-prem systems, microservices, and AI/ML tools work together seamlessly. My priorities: security, scalability, and ease of extension. - Vibe-coding / creative coding
It’s not just about writing code but also about the experience — for myself, the team, and the user. I want to experiment with new frameworks and approaches (generative AI in coding, assisted coding, automated refactoring) to make the process cleaner, more efficient, and more enjoyable.
Technologies I want to deepen
| Area | Plans |
|---|---|
| Modeling & ML | NLP work, ML experiment studios, production inference pipelines |
| AI Agents / Bots | Implementing assistants, decision agents, automating conversations, REST/API integrations |
| Infrastructure as AI-Ready | Architectures prepared for ML/AI: GPU/TPU, model orchestration, data management (e.g., Feature Store) |
| Process automation | Extending CI/CD, automated testing, agent deployments, operational automation (self-healing, auto-scaling) |
| Cloud & edge computing | Hybrid setups, serverless solutions, edge/IoT experiments with AI |
| Code efficiency & dev tools | AI-assisted tools for refactoring, code generation, documentation, linting, formatting |
Why am I doing this?
- Because AI and automation unlock new possibilities — from cost optimization to quality, scalability, and competitive advantage.
- Because I believe that by combining solid DevOps/SRE foundations with intelligent AI tools, we can create systems that are faster, more reliable, and easier to maintain.
- Because I want my work to have measurable impact — for my organization as well as the systems and users it touches.