Summary
Experienced Computer Vision Engineer specializing in the development and deployment of advanced AI algorithms and systems. Proven expertise in designing and optimizing AI models for tasks such as object detection, image segmentation, and video analytics using frameworks like TensorFlow and PyTorch. Skilled in implementing Docker and Kubernetes for scalable deployment of computer vision applications. Proficient in utilizing cloud platforms such as AWS and Azure for model training and inference, leveraging Infrastructure as Code (IaC) tools like Terraform. Strong background in developing AI-driven solutions for real-world applications, with hands-on experience in integrating vision systems with robotics and automation. Effective collaborator with a track record of delivering robust solutions that meet and exceed client expectations.
Skills
- Agile
- Algorithms
- Ansible
- AWS CodePipeline
- AWS Lambda
- Azure Functions
- Azure Logic Apps
- Azure VM
- Blob Storage
- Bootstrap
- C
- CloudWatch
- Container Instances
- Data Structures
- Docker
- EC2
- EKS
- Express.js
- Flask
- GitHub
- GitLab
- Grafana
- Java
- JavaScript
- Jenkins
- Jira
- Kubernetes
- MongoDB
- MySQL
- Node.js
- Postgres
- Power App
- Power Automate
- Power BI
- Prometheus
- Python
- PyTorch
- React
- S3
- SQLite
- Tableau
- TensorFlow
- Terraform
- YOLO
Education
Dec 2023 Bachelor of Science (Computer Science) at University of New South Wales
Dec 2019 Higher School Certificate at The King's School