I build applied AI systems focused on automation, reliability and decision-making in enterprise environments.
I have 7+ years of experience working with large-scale ERP, finance and operational systems, now combined with hands-on delivery of:
- Applied machine learning
- LLM-based systems (RAG, embeddings)
- Python backend services
- AI-driven monitoring and automation
My work focuses on production-ready AI solutions grounded in real-world constraints such as data quality, system reliability and business-critical workflows.
Applied rule-based and ML-assisted techniques to detect integration failures, SLA breaches and abnormal transactional behaviour in enterprise systems.
Focus: Reliability, monitoring, production data
Built an LLM-powered document intelligence system using embeddings and semantic search to enable natural-language access to enterprise documentation.
Focus: Knowledge retrieval, decision support
Developed regression-based models to forecast operational outputs using historical and environmental data.
Focus: Applied ML, model evaluation, business metrics
- Applied AI & ML (Python)
- Enterprise systems (ERP, finance, operations)
- Automation, monitoring and decision support
- Production-aware engineering