What I deliver: AI systems that turn documents, data, and complex processes into useful answers.
I'm a Computer Scientist focused on connecting cutting-edge software engineering with Artificial Intelligence. I define technical direction, design architectures.
- Advanced RAG & Hybrid Search: I build pipelines that combine semantic search (dense vectors) with exact keyword search (sparse vectors / BM25) simultaneously, using databases like Qdrant and ClickHouse.
- Autonomous AI Agents: I develop multi-step decision-making systems with LangGraph and LangChain capable of structured extraction, classification, and deduplication of items from unstructured documents.
- LLMs in Production: I ensure AI application resilience through prompt A/B testing, prompt engineering, automatic model fallbacks (OpenAI, Anthropic, Mistral), and deep observability (tracking cost, quality, and latency) with Langfuse.
- Classical Data Science: I go beyond generative AI using supervised/unsupervised ML models, time series forecasting, and distributed processing with PySpark.
AI / ML
Databases & Vector Stores
Backend & Cloud
Observability, Evaluators and Prompt Versioning
Let's talk? If you want to discuss AI architecture, Vector Databases, or data engineering, feel free to reach out!