Available to hire
I am Minh Cao, a passionate and driven AI Engineering student with hands-on experience in computer vision, image processing, and natural language processing. I am proficient in Python and familiar with PyTorch and TensorFlow, and I have built models for object detection, image classification, and action recognition.
I am seeking an AI Engineer Intern or Junior position specializing in computer vision to apply my technical skills and contribute to developing intelligent visual systems in real-world deployments.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Advanced
Vietnamese
Fluent
Work Experience
AI Engineer Contractor (Remote) at SoftDreams
March 1, 2025 - November 27, 2025Contributed to a video analytics project focused on detecting phone usage behaviours using CCTV footage in real-time. Built an action recognition pipeline to accurately detect and classify phone usage behaviours from surveillance footage, achieving 94% accuracy. Developed and released new models for age and gender classification with 96% accuracy for gender and 84% accuracy for age, enhancing the face analysis module in deployment environments. Developed a fire detection pipeline for fire verification with 95% accuracy and 92% precision, significantly reducing false positives and preventing unnecessary alarms in factory environments. Optimised existing AI pipelines and fixed integration bugs to improve performance, stability, and deployment efficiency across multiple services.
AI Engineer Intern (Remote) at SoftDreams
February 1, 2025 - February 1, 2025Contributed to a computer vision project focused on face analysis using CCTV camera footage. Designed and implemented real-time emotion, gender, and age recognition modules, deploying them via Nvidia Triton Inference Server for real-time video stream processing. Developed and fine-tuned lightweight deep learning models for gender and age estimation, boosting accuracy from 77% to 90% while ensuring compatibility with the company’s hardware constraints. Tackled the challenge of prediction consistency over time, implementing temporal smoothing strategies to stabilise model output across consecutive frames. Collaborated effectively within a cross-functional AI team, leveraging Git and Bitbucket for source control, code reviews, and managing multiple development branches.
Education
Bachelor of Computer Science at Swinburne University of Technology
January 1, 2023 - June 1, 2026Qualifications
AWS Academy Cloud Foundations
April 19, 2024 - November 27, 2025Industry Experience
Software & Internet, Media & Entertainment, Education, Professional Services, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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