Professional Overview
AI and machine learning engineer with hands-on experience across industrial, cloud and embedded environments. Builds and deploys end- to-end AI systems combining model development, data pipelines, backend services and production infrastructure. Strong background in computer vision and applied ML.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- - Built an AWS-based AI platform spanning dataset creation, model training, back
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Architected and optimised YOLO-based computer vision pipelines
- delivering real-time AI on constrained edge hardware.
- Worked directly with industrial clients including SNCF
- translating operational constraints and feedback into production improvements
Key Achievements / KPIs
- Improved model accuracy by 10%
- reduced inference latency by 15% through hardware-aware optimisation
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
