Computer Vision Machine Learning
Resume:
NGUYEN TRONG HIEU
A I E N G I N E E R
************@*****.***
linkedin.com/in/tronghieung
SUMMARY
Experienced Computer Vision Engineer with AI model development, optimization, and deployment expertise. Skilled in neural networks, object detection, and image processing techniques. Proven ability to lead teams, solve complex challenges, and deliver high-performance solutions for real-world applications. Passionate about research and driving innovation in computer vision. SKILLS
Programming Languages: Python, C/C++
Tools & Frameworks: PyTorch, TensorFlow, Keras, ONNX, TensorRT, NVIDIA Jetson Computer Vision Techniques: Neural Networks, Object Detection, Semantic Segmentation, Image Classification, OCR Image Processing: Edge Detection (Canny, Sobel), Color Space Conversion (RGB, YUV), Laplacian, Gaussian Soft Skills: Problem-Solving, Team Collaboration, Strong Communication, Research and Development Novodan Co. Ltd - Team Leader/AI Engineer Jun 2023 - Jul 2024 Main responsibilities:
Designed project pipelines, roadmaps, and pitches to align with strategic goals. Assessed technologies, mitigated risks, and devised solutions to project challenges. Collaborated with the Project Manager to define tasks and ensure efficient execution. Collected, annotated, and pre-processed datasets for model training and evaluation. Optimized and fine-tuned AI models, achieving up to 91% segmentation accuracy. Implemented pre- and post-processing algorithms to enhance model performance. Deployed AI models on AWS Cloud for scalable and efficient performance. Technologies / Frameworks:
Computer Vision: YOLOv8, Yolact, PyTorch, OpenCV
Cloud Computing: AWS
github.com/hieutrong512
PROFESSTIONAL EXPERIENCE
Velox Tech - Computer Vision Engineer Jul 2024 - Present Main responsibilities:
Collaborated directly with the team in Norway to test products in real-world environments, ensuring functionality and reliability. Partnered with team members to identify challenges, propose solutions, and provide accurate time estimates for tasks. Documented research findings and methods for knowledge sharing and created comprehensive procedure documents to guide new team members.
Collected, annotated, and ensured the quality of datasets for model training and evaluation, achieving highly accurate labeled data. Adjusted and optimized image quality to suit real-world underwater environments, ensuring the collection of high-quality data Processed raw 4K YUV image data from camera sensors, including decoding and pre-processing, to ensure data readiness for analysis. Researched and implemented pre-processing filters (Canny, Edge Mask, Gaussian) to enhance image quality, boosting model inference accuracy to ~90%.
Trained, fine-tuned, and customized segmentation and detection models, achieving ~82% accuracy and improving small object detection performance.
Developed and optimized post-processing algorithms (Laplacian, Gaussian) to enhance result reliability and eliminate low-confidence outputs. Optimized models for low-latency inference on NVIDIA Jetson devices, enabling efficient real-time performance. Designed and implemented an automated camera orientation algorithm to optimize light capture for better image quality. Developed tools for visualizing AI model outputs, improving data analysis and debugging processes. Technologies / Frameworks:
Computer Vision: YOLOv8, YOLOv9, PyTorch, OpenCV
Embedded Systems: NVIDIA Jetson, TensorRT, ONNX, Embedded C/C++ Pre-/Post-Processing: Canny, Edge Mask, Gaussian, Laplacian Main responsibilities:
Collected, generated, and labeled datasets for model training. Cleaned and pre-processed datasets for optimal model performance. Researched and implemented edge detection algorithms to enhance image analysis. Researched, developed, and deployed detection models, OCR, and the Segment Anything model. Implemented algorithms to connect and eliminate missing or redundant segmentation components. Technologies / Frameworks:
Computer Vision: Matteformer, OCR, YOLOR, YOLOv5, PyTorch, TensorFlow, OpenCV Collect data: Selenium, Beautiful Soup
Database Management System: MongoDB
Truong Minh Thinh Technology JSC - Computer Vision Engineer May 2022 - Jun 2023 EDUCATION
Duy Tan University
Big Data & Machine Learning CPA: 3.6/4.0
Awards: Achieved Studying Scholarship for top 5% of students who have the highest score
Sep 2019 - Jun 2023
Funix Course
Machine Learning CPA: 3.2/4.0
Awards: Achieved scholarship for the top 3 highest entrance test scores Jul 2021 - Mar 2022
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