Strong Mathematical background, years of industry and academia experience. Applied Statistics and Probability to solve real world business problems and transform business with technology and information.

Advanced AI Agent Development

• Multi-agent communication systems with sophisticated interaction protocols
• Proprietary evaluation frameworks for quantitative agent performance assessment
• Semantic response evaluation using domain-specific grounding methodologies
• BERT-based scoring systems combining semantic similarity and QA confidence metrics

I have worked for renown companies like The Honest Company, Headspace, AtomTickets, FabFitFun and Shift. E-commence experience from pricing a lipstick (https://fabfitfun.com) to BMW (https://shift.com).

Languages: Java, Scala, Python and SQL

Designed dozens of A/B tests

Led teams of data scientists, engineers and analysts.

Implemented MLOps solutions on AWS leveraging SageMaker and AWS ecosystem.

Designed and rolled to production data products such as RecSys built from scratch and using collaborative filtering approach, built dozens of  predicted LTV for e-commerce on user and segment level, worked with multimodal non-structured datasets, worked on performance tuning for foundational models (LoRA, PEFT), used transformers.

Evaluation & Quality Assurance

• Developed hybrid scoring methodologies combining deterministic rules and probabilistic models
• Automated assessment pipelines for conversational AI and content generation
• Multi-modal evaluation systems incorporating text, image, and contextual data analysis

What Sets Me Apart

I don’t just build models—I create comprehensive systems that evaluate, optimize, and scale AI solutions. My approach combines rigorous mathematical foundations with practical business applications, ensuring your AI investments deliver measurable results.
Ready to transform your business with cutting-edge AI? Let’s discuss how these proven methodologies can address your specific challenges.