Goal-driven Principal Engineer adept at reviewing plans and implementing improvements. Skilled in technical research and expert in Industrial Automation software. Ready for new professional challenges and willing to take on dynamic responsibilities.
Stanford University, Coursera (online). Machine Learning (94%)
University of Michigan, Coursera (online). Introduction to Data Science in Python (93%)
Intellectual Properties:
Methods and System to generate Control Logic from Control Narrative.
Papers:
1- Towards Transforming an Industrial Automation System from Monolithic to Microservice, ETFA 2018.
2- Rule-based Code Generation in Industrial Automation: Four Large-scale Case Studies applying the CAYENNE Method, ICSE 2020.
3- Analysis, Evaluation, and Assessment for Containerizing an Industry Automation Software, SMC 2020.
4- Dynamic Updates of Virtual PLCs deployed as Kubernetes Microservices, ECSA 2021.
5- KIKO: A Tools Framework for Industrial
Domain-specific Natural Language Processing Tasks, C2I6-2023