AI Solutions Architect and Data Science Lead focused on production-grade AI systems, scalable data platforms, and high-performance computing.
I design and deliver applied AI solutions for complex environments, connecting architecture, machine learning, generative AI, RAG, automation, data pipelines, MLOps, and operational integration. My work spans enterprise consulting, digital agriculture, public sector, healthcare, energy, and scientific computing.
- Enterprise AI architecture for production environments
- Applied AI, recommendation, classification, prediction, and decision-support systems
- Generative AI, RAG, LLM-based systems, and intelligent agents
- Data science, machine learning, MLOps, and model monitoring
- Data pipelines, APIs, automation, and system integration
- High-performance computing, GPU environments, Slurm, MPI, CUDA, and performance optimization
- Technical leadership, product strategy, roadmap planning, and cross-functional delivery
- Generative AI systems for legal document interpretation, classification, and triage
- Recommendation systems for healthcare and scientific content
- Serverless data pipelines for scientific publication processing
- AI-driven automation for operations and maintenance workflows
- Predictive modeling and decision-support systems for digital agriculture
- HPC infrastructure, Linux administration, Docker/container environments, benchmarking, and scientific computing
I combine hands-on technical execution with architecture, product thinking, and business alignment. I care about systems that leave the prototype stage and become reliable, measurable, and useful in production.