I'm a Senior Engineer currently working on AI systems, data pipelines, and cloud infrastructure. I specialize in building production-grade products that integrate LLMs, modern data stacks, and scalable GCP architectures. Passionate about shipping fast and solving complex problems with cutting-edge technologies.
Google Cloud Platform Specialist • AI/ML Engineer • Full-Stack Builder
const vzucher = {
role: "Senior Engineer & Product Builder",
focus: ["AI/ML Systems", "Cloud Architecture", "Data Engineering", "Full-Stack Products"],
cloudExpertise: {
primary: "Google Cloud Platform",
services: ["BigQuery", "Cloud Run", "Vertex AI", "Firestore", "Cloud Functions"],
architecture: ["Serverless", "Microservices", "Event-Driven", "Data Pipelines"]
},
aiEngineering: {
systems: ["LLM Applications", "RAG Pipelines", "Vector Databases", "ML Workflows"],
frameworks: ["LangChain", "OpenAI", "Anthropic", "HuggingFace"],
specialties: ["Prompt Engineering", "Agent Systems", "Embeddings", "Fine-tuning"]
},
dataStack: {
engineering: ["BigQuery", "Dataflow", "ETL Pipelines", "Data Warehousing"],
science: ["Python", "Pandas", "NumPy", "Scikit-learn"],
databases: ["Firestore", "PostgreSQL", "Elasticsearch", "Redis"]
},
webDevelopment: {
frontend: ["React", "Next.js", "TypeScript", "Tailwind CSS"],
backend: ["Node.js", "Python", "FastAPI", "Express"],
patterns: ["API Design", "Authentication", "Payment Integration", "Real-time Systems"]
},
approach: "End-to-end ownership from architecture to deployment" +
" • Ship fast, iterate faster • Production-first mindset"
};
🧠 AI & Machine Learning Systems
-
RAG Document Intelligence Platform
Built production RAG pipeline with Elasticsearch, vector embeddings, and GPT-4 for semantic document search
LangChainOpenAIElasticsearchPythonFastAPI -
LLM Agent Orchestration
Developed autonomous agent systems for workflow automation with tool calling and memory management
LangChainFunction CallingRedisStreaming -
Custom Knowledge Base GPT
Domain-specific AI assistant with fine-tuned embeddings and retrieval-augmented generation
OpenAIPineconePrompt EngineeringNext.js
☁️ Cloud Architecture & Data Engineering
-
Scalable Data Pipeline on GCP
Designed and deployed serverless ETL pipeline processing millions of events daily
BigQueryCloud FunctionsPub/SubDataflowPython -
Real-Time Analytics Dashboard
Built streaming analytics platform with BigQuery ML and real-time data visualization
BigQueryCloud RunWebSocketsReactD3.js -
Multi-Region Serverless API
High-availability microservices architecture with automatic scaling and monitoring
Cloud RunCloud CDNFirebaseTerraformMonitoring
🌐 Full-Stack SaaS Products
-
Enterprise SaaS Platform
Multi-tenant platform with role-based access, Stripe billing, and real-time collaboration
Next.jsFirebaseStripeTypeScriptTailwind -
Growth Automation Engine
Built automated outbound system integrating CRM, email, and analytics
Node.jsHubSpot APIn8nPostgreSQLRedis -
Payment Processing Integration
Designed secure payment flows with subscriptions, webhooks, and billing management
StripeWebhooksReactNode.jsSecurity
|
Build MVPs quickly, validate with real users, and iterate based on data—not assumptions. |
Architect systems that can grow from prototype to production without major rewrites. |
Leverage LLMs and ML to solve problems that were impossible just months ago. |
I'm always interested in challenging projects that push boundaries—whether it's architecting cloud infrastructure, implementing cutting-edge AI systems, or building products that solve real problems.
Looking for:
- Complex technical challenges in AI/ML, cloud architecture, or data engineering
- Opportunities to build and ship innovative products
- Collaborations with talented teams solving meaningful problems
