01
NLP & LLM
LLM development and fine-tuning, RAG systems, prompt optimization, quality evaluation and safety.
Turning
complex data
into production
AI systems.
I design ML products, LLM services and reliable document processing pipelines — from concept to production.
From concept to production
I design and ship ML systems with a focus on data quality, reliability, security and scale.
02
Document AI
Extraction from complex documents, classification, validation, normalization and structuring.
03
ML Infrastructure
ML architecture, MLOps, observability, automated deployment and resource management.
Selected systems
Hover a row — the architecture responds.
01
RAG for regulatory documents
Search and answer generation over internal policies and standards with controlled context retrieval.
- Python
- Milvus
- LLM
- Docker
02
Document AI pipeline
Recognition, entity extraction, validation and structured export for complex business documents.
- Python
- Kotlin
- OCR
- Docker
03
Private ML environment
An isolated platform for experiments and inference with full control over data and compute.
- Python
- Kotlin
- Linux
- Docker
Have an
AI challenge?
Share the context — I will reply with substance, without unnecessary calls.