Background

AI Engineer & Generative AI LeadMay 2024 – present

• Technical leadership of generative AI solutions, from proof of concept to production.
• Architecture and development of LLM, RAG, multimodal and agent-based systems.
• Design of cloud-native AI solutions on AWS and Azure.
• End-to-end technical ownership, covering architecture, evaluation, security, observability and production readiness.
• Technical mentoring and people management.
• Working with business and engineering teams to turn generative AI use cases into deployable products.

Data EngineerNovember 2021 – February 2025

• Data extraction and processing with SQL and Python.
• Machine learning model development in Python.
• Model training and deployment pipelines following MLOps on AWS.

Generative AI ProfessorMarch 2024 – present

• Teaching in three master's programmes, which are Generative AI, Generative AI Engineering and Development, and Automation Engineering with Agentic AI.
• With business profiles, I teach how to understand generative AI, set a strategy and lead teams that build AI solutions.
• In specialisation courses, I teach how to build custom generative AI solutions, from model selection to deployment.
• Tutoring students throughout the programmes.

Data ScientistAugust 2019 – November 2021

• Extraction, processing and visualisation of solar plant data.
• Python extractors for the plants' on-premises databases.
• Spark ETLs for daily processing of production and maintenance data, on AWS and Databricks.
• Anomaly detection and reports on how the plants were performing.
• Dashboards with Amazon QuickSight and Dash display screens for small installations.
• Automated reporting tools in Python.

InternJune – July 2019

• Data analysis and machine learning.

InternMay – June 2018

• 3D photogrammetry algorithm development.
• 3D point cloud processing with geometric methods, using specialised software and code.
• Point cloud processing functions in VB.NET.