Professional Overview
I build optimal AI models, turning complex architectures into simple, scalable products. With the back-end development skills gained from years of project development and my background as a Validation Lead for a global pharma client, I deeply understand system risks-ensuring my systems are innovative, secure, and reliable.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Oversaw validation of systems for regulations in development and production area
- Do risk analysis to define the level of test, documentation and reviews required
- Responsible for implementing CAPA (Corrective and Preventive Action).
Key Achievements / KPIs
- Learnt how the maintainace of Softwares happen.
- Learnt how development, testing and handling of data is done according to rules
AI Expertise
Skills
Description of Responsibilities
- Oversaw validation of systems for regulations in development and production area
- Do risk analysis to define the level of test, documentation and reviews required
- Responsible for implementing CAPA (Corrective and Preventive Action).
Key Achievements / KPIs
- Learnt how the maintainace of Softwares happen.
- Learnt how development, testing and handling of data is done according to rules
AI Expertise
Skills
Description of Responsibilities
- Oversaw validation of systems for regulations in development and production area
- Do risk analysis to define the level of test, documentation and reviews required
- Responsible for implementing CAPA (Corrective and Preventive Action).
Key Achievements / KPIs
- Learnt how the maintainace of Softwares happen.
- Learnt how development, testing and handling of data is done according to rules
Education
Field of Study: Artificial Intelligence
Field of Study: Computer Science
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
