Hi, I’m Minh Cao, a ML/AI Engineer student at Swinburne University of Technology. I have hands-on experience in computer vision, image processing, and natural language processing, and I’m proficient in Python. I’m familiar with PyTorch and TensorFlow and have implemented models for object detection, image classification, and action recognition. I’m seeking an AI Engineer Intern or Junior position specializing in computer vision to apply my technical skills and help build intelligent visual systems.

Minh Cao

Hi, I’m Minh Cao, a ML/AI Engineer student at Swinburne University of Technology. I have hands-on experience in computer vision, image processing, and natural language processing, and I’m proficient in Python. I’m familiar with PyTorch and TensorFlow and have implemented models for object detection, image classification, and action recognition. I’m seeking an AI Engineer Intern or Junior position specializing in computer vision to apply my technical skills and help build intelligent visual systems.

Available to hire

Hi, I’m Minh Cao, a ML/AI Engineer student at Swinburne University of Technology. I have hands-on experience in computer vision, image processing, and natural language processing, and I’m proficient in Python. I’m familiar with PyTorch and TensorFlow and have implemented models for object detection, image classification, and action recognition.

I’m seeking an AI Engineer Intern or Junior position specializing in computer vision to apply my technical skills and help build intelligent visual systems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Vietnamese
Fluent

Work Experience

AI Engineer Contractor (Remote) at SoftDreams
March 1, 2025 - November 27, 2025
Contributed 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.
ML Engineer Intern at Silverpond
February 1, 2026 - Present
Developed a vision language model (VLM) classifier by fine-tuning on the provided dataset and applying prompt-based inference techniques, achieving 98% accuracy. Designed an agentic workflow integrating SAM 3 with vLLM models, where the language model dynamically refines prompts to improve object detection and bounding box classification. Built a prompt-based VLM labeling workflow that enabled non-technical users to label data independently through simple natural language instructions, improving usability and consistency in the annotation process.
AI Engineer Intern (Remote) at SoftDreams
December 1, 2024 - February 1, 2025
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, 2026

Qualifications

AWS Academy Cloud Foundations
April 19, 2024 - November 27, 2025

Industry Experience

Software & Internet, Media & Entertainment, Education, Professional Services, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

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