About Dmitri
Dmitri leads AI development and technical architecture at ForBroTeam. He has spent his career building the infrastructure behind banking and financial platforms, and he brings that engineering discipline to AI agents, automation pipelines, and compliant systems for healthcare, finance, and SaaS companies. His core background is in machine learning and natural language processing. What he builds goes into production, not into a proof-of-concept folder.
He has led technical implementations across industries: HIPAA-compliant patient intake and scheduling systems for healthcare clinics, SOC 2-grade workflow automation for financial services companies, RAG pipelines for enterprise document processing and domain-specific Q&A, and multi-agent orchestration systems that run multi-step business processes without a person pushing each step along.
Dmitri approaches AI projects by starting with the data and the constraint, not the model. He evaluates whether RAG, fine-tuning, or a hybrid approach fits the problem at hand. And he builds around the tools a company already runs instead of asking anyone to rip them out.
Areas of expertise
- Financial platform and fintech systems architecture
- AI agent architecture and multi-agent orchestration
- Retrieval-Augmented Generation (RAG) pipeline design
- Large Language Model fine-tuning and evaluation
- HIPAA-compliant AI system architecture
- SOC 2 compliant workflow automation
- Natural language processing and text analysis
- Machine learning model development and deployment
- Python, FastAPI, LangChain, LlamaIndex
- Cloud infrastructure (AWS, GCP)
- Healthcare AI: EHR integration, patient data workflows
- Finance AI: KYC, AML, fraud detection systems