CURRICULUM VITAE
PERSONAL INFORMATION
Full Name Trinh Anh Van
Nationality Vietnamese
E-mail *************@*****.***
SUMMARY
As an AI engineer, I specialize in developing cutting-edge solutions using artificial intelligence. My goal is to contribute to advancements in AI technology and solve real-world problems through innovative applications.
EDUCATION BACKGROUND
Oct 2024
- Bachelor’s Degree in Control Engineering and Automation of Hanoi University of Science and Technology (HUST)
Graduated: Excellence.
WORKING EXPERIENCE
Hanoi, Aimesoft
Sep 2024 - now
Computer Vision Engineer
- Research and develop vision products like OCR, pattern recognition, ...
- Develop backend system for AI serving.
TECHNICAL SKILLS
Main Programming
Languages
Python, C++, Matlab, Ladder…
Frameworks & Services Pytorch, Numpy, OpenCV, ezdxf, python-bioformat, vips-tools, … Other Skills Linux, Git, Docker, Control system, … PROJECTS
Lung Cancer Classification
- Extract WSI images from various file types like .vsi, .ets, .dtx,
.tmap.
- Survey some model for segmentation like CellViT, InstanceSeg, CelloType, …
- Processing data for training and infering with CellViT model.
- Training and finetuning CellViT model for nuclei segmentation.
- Optimize code for faster inference time.
- Extract special features for classification.
- Classify WSI image with those features.
- Packaged module with pyinstaller to a blackbox.
- Packaged code and deploy on sever.
Nishiokagu
- Developed a solution combining image processing, natural language processing (NLP), and other techniques to extract room and furniture information from AutoCAD .dxf files.
- Utilized the ezdxf library to efficiently extract information from
.dxf files..
- Implemented OpenCV's findContours function to identify room candidates based on geometric properties.
- Trained a DistilBERT model to classify text as either room- related or unrelated, enabling room detection through textual data.
- Integrated contours and text data to locate rooms and extract their coordinates.
- Applied contour detection to identify furniture candidates within floor plans.
- Trained a MobileNet-v2 model to classify contour images into specific furniture types.
- Packaged the solution into a deployable module and implemented it on a server for production use.
Ocr Translate
- Developed a project enabling users to upload files and select a language for translation.
- Using python-pptx to extract information from a .pptx file.
- Using python-docx to extract information from a .docx file.
- Using pandas to extract information from a .xlsx file or a .xls file.
- Using paddleOCR for extracting information from a pdf or an image file.
- Implemented translation functionality using the Google Translate API.
- Built an intuitive web interface using Gradio.
- Packaged the project as a module and deployed the application on a server for public access.
AI Digital
- Developed functionalities to assist visually impaired individuals.
- Designed a Pedestrian Light Detection Module to notify users when the pedestrian light is red (stop) or green (walk).
- Upgraded the model from SSD-MobileNetV2 to YOLO-v10 for enhanced accuracy in object detection.
- Optimized rules and algorithms to achieve higher system accuracy.
- Packaged and built the application using Inno Setup for streamlined deployment.
- Deployed the solution on an edge device (DE200) for real-time performance.
Wind turbine blade surface
classification
- Training a model for classify wind turbine blade surface.
- Using some basic model for classify like EfficientNet, ResNet, … for classify.
- Apply some Ensemble learning technique like Bagging, Boosting to get better performance.
- Apply some Few-shot learning technique like Siamese Network, Protocol Network for better performance.
LANGUAGE SKILLS
Vietnamese Native
English
- Good, can work in English environment
- Certificate for internal TOEIC 665