Live streaming with AI
Live events and education platform scaling to thousands of concurrent viewers, with real-time chat, polls and assessments.
- WebSockets
- Realtime
- Python
I build end-to-end digital products — web, mobile and applied AI in production.
For 19+ years I've turned ideas into platforms that scale: from backend and native apps to AI engineering with RAG and autonomous agents.
How I work
It started around 2007, still a teenager, tweaking templates and breaking pages on blogs until I understood what happened behind every line. By 14 it was already an obsession: using the tool was never enough — I wanted to take it apart. More than 19 years later, that same curiosity is still my method.
I've lived through nearly every wave of the web: from blogs and SEO to hosting and servers; from PHP and Laravel to modern front-end; from Docker and the cloud to infrastructure as code; and now, to AI agents. Each phase taught me a layer — structure, performance, operations, architecture — and I never got stuck on a single technology: when the game changed, I changed with it.
Today I work as a fullstack engineer with real depth across backend, frontend, mobile and applied artificial intelligence. I've shipped dozens of products: multi-tenant SaaS and ERP platforms, native and cross-platform apps, industrial telemetry and AI systems running in production for thousands of concurrent users.
With AI I follow the same principle as always: no hype, all judgment. Real RAG, agents and automations in production — because AI doesn't replace experience, it amplifies the capacity of those who know which questions to ask and how to hold the answers accountable.
At heart, I'm a builder. I like hard problems, the right tool and software that lasts. Understanding systems, solving them, improving them and building things that work — that's what has driven me since the very first page I broke.
The timeline
Each card is a phase of the journey, in order — hover (or tap) to flip it and see that era's tech.
Each phase added to the last — it all coexists in today's stack.
I design and ship systems with RAG (retrieval-augmented generation), autonomous agents, document ingestion and structuring, embeddings and vector databases, automations and real-time voice interfaces — always focused on reliability, cost and scale. I've delivered AI platforms used daily by thousands of people.
A broad toolbox, built on real production projects.
Real cases, described by sector and technical capability.
Live events and education platform scaling to thousands of concurrent viewers, with real-time chat, polls and assessments.
Apps published on both stores — native in Kotlin and Swift and cross-platform with React Native/Expo and Flutter.
Data collection and telemetry over LoRaWAN and MQTT, integration with PLCs and Modbus and real-time operations dashboards.
Multi-tenant management systems for regulated sectors, with APIs, billing and end-to-end integrations.
Document ingestion and structuring pipelines with embeddings and semantic search for reliable answers.
Infrastructure as code with Terraform, containers and in-house monitoring and error-reporting SDKs.
Available for AI projects, web platforms and mobile apps.
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