ENGINEERING DISCIPLINE
Generative & Agentic AI
I build AI-enabled applications where language models, enterprise knowledge, APIs and tools work together to perform useful tasks.
MY APPROACH
Connect powerful models to real workflows.
01
Retrieval-augmented generation
02
Multi-model and LLM integration
03
AI agents and tool orchestration
04
Structured and unstructured information access
05
Practical LLM application engineering
APPLIED IN PRACTICE
Where this shows up in my work.
Generative AI
RAG, LLM & Intelligent Knowledge Systems↗
Making enterprise information usable through natural-language interfaces and connected AI workflows.
Retrieval-augmented generationMulti-LLM orchestrationEnterprise knowledge retrieval
NLP & Enterprise AI
Document Intelligence & NLP↗
Extracting structure and meaning from documents that were never designed for machines.
NLPNamed entity recognitionDocument vectorization
Have a problem that needs
more than a standard answer?
Let's discuss the problem, constraints and what a practical solution might look like.
Discuss your challenge ↗