Professional Overview
As a Lead GenAI & Data Science Architect, I build Generative AI systems that hold up in production — and I measure them before I trust them. Twenty-five years across AI Consulting, R&D and Innovation Projects. LLM · Prompt Engineering · Multi-Agent Systems development · Data Extraction | LLMOps · Production GenAI in regulated industries
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Lead GenAI and data science architecture for enterprise clients
- PoC and MVP validation
- GenAI application development to production rollout availability and scale
Key Achievements / KPIs
- Raised accuracy on highly regulated claims processing from ~70% to +95%
- Designed a GraphRAG platform spanning 8 languages and 17+ data sources
- Architected a multimodal retrieval platform serving 1,000 concurrent users
- Built a document-intelligence pipeline processing ~200,000 pages per month
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Lead GenAI and data science architecture for enterprise clients
- PoC and MVP validation
- GenAI application development to production rollout availability and scale
Key Achievements / KPIs
- Raised accuracy on highly regulated claims processing from ~70% to +95%
- Designed a GraphRAG platform spanning 8 languages and 17+ data sources
- Architected a multimodal retrieval platform serving 1,000 concurrent users
- Built a document-intelligence pipeline processing ~200,000 pages per month
Education
Field of Study: Physics
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
