# Vladimir Preobrazhenskiy - Full Professional Profile & Website Content

## Metadata
- **Name**: Vladimir Preobrazhenskiy
- **Role**: AI Engineer, Tech Lead, Solutions Architect
- **Specialization**: AI Agents, LLMs, Conversational AI, High-load Systems, DevOps
- **Email**: hello@vvpreo.net
- **Website**: https://vvpreo.net/

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## 1. Professional Summary (About Me)

I am a software development expert with experience since 2009. My career spans the entire software lifecycle, from coding to architecture and DevOps. I have worked with a broad technology stack including C, Java, Scala, Python, Go, JavaScript, TypeScript, and Bash, as well as Big Data technologies.

My current primary focus is on **AI Agents** and **Conversational AI**. I believe that for AI agents to be effective, they require a robust, well-architected environment, not just good prompts.

**Key Strengths:**
- **Business-First Approach**: I prioritize business goals over technological hype.
- **Full-Stack & DevOps**: I can build the software and the infrastructure it runs on (Kubernetes, CI/CD, Cloud).
- **Adaptability**: Rapid learner of new tools and frameworks.
- **AI Pragmatism**: I use AI to speed up development without compromising quality.

**Notable Achievement:**
- **Gold Winner 2025 Rasa Agent Building Challenge**: Recognized globally for building sophisticated AI agents using Rasa and LLMs.

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## 2. Services Offered

### Consulting
Strategic guidance on implementing AI agents, chatbots, and intelligent systems.
- Feasibility analysis.
- Architecture design.
- Technical audits of existing systems.

### Development
Full-cycle development of AI-powered applications and autonomous agents.
- **Stack**: Python, LLM/RAG (LangChain, LlamaIndex), AI Agents.
- From MVP to high-load production systems.

### DevOps
Infrastructure setup for AI systems.
- **Technologies**: Kubernetes, CI/CD, Cloud optimization, Model Serving.
- Building reliable pipelines for high-load projects.

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## 3. Notable Projects & Case Studies

### Rasa Agent Building Challenge (Winner 2025)
- **Description**: extensive competition to build the best AI agent using Rasa.
- **Outcome**: Won Gold. Built a sophisticated agent integrating LLMs for dynamic conversation flows.
- **Tech**: Rasa, Python, LLMs.

### StoryJar AI
- **Description**: A family media archive POC driven by Generative AI.
- **Features**: Automated story generation, face recognition (~97% accuracy), semantic search.
- **Tech**: GenAI, Computer Vision, Microservices.

### Enterprise Voice Robots
- **Description**: Architected and led the development of a voice bot platform handling over 1 million calls.
- **Tech**: High Load, SIP/VoIP, Scala/Python.

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## 4. Target Audience (Who I Help)

- **Startup Founders**: Validating hypotheses and launching MVPs quickly for investment.
- **Business Owners**: Automating routine support and sales tasks with AI agents.
- **CTOs & Tech Teams**: Scaling systems, setting up DevOps, and auditing architecture.
- **Product Managers**: Bridging the gap between business goals and technical AI implementation.

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## 5. Contact Information

- **Email**: hello@vvpreo.net
- **Telegram**: @vvpreo
- **LinkedIn**: linkedin.com/in/vvpreo
- **GitHub**: github.com/vvpreo
- **WhatsApp**: +79263803656