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Thăng Long
@thanglong
Developer
AU VAN BANG
@auvanbang11
5.0
Developer
Programming Python language
C++
Logical thinking and creative
Public Speaking
Ho Chi Minh, Vietnam
Tham gia: 16/01/2025 21:08:16
Take advantages of programming skills& experience and understanding of technology to become a professional programer. From that, I will contribute to development of your Company
Quá Trình Học Tập
HO CHI MINH UNIVERSITY OF TECHNOLOGY AND EDUCATION JULY 2017
Bằng cấp: Electronic and Telecommunication Engineering Technology
(Gpa: 8.07/10)
Kinh Nghiệm Làm Việc
AI Software Engineer (FEBRUARY 2024 - PRESENT)
- Deploy an MVP Android app for Rehabilitation using pose estimation
- Deploy pose estimation sports analysis on both Android mobile devices and the Jetson Nano using C++
- Build a library and Docker container with OpenWrt on a Raspberry Pi
- Deploy an OCR model on mobile devices
- Conduct research on deploying AI models (specifically time-series models) on the Hailo-8 edge AI processor
- Conduct research on deploying pose estimation and SMPL on mobile devices
- Research on 3D human pose and shape estimation from multiple 2D camera views using the SMPL model
Main projects
AI Software Engineer (MARCH 2023 - FEBRUARY 2024)
- Research and deploy visual object tracking algorithms: StarkTrack, TCTrack, NanoTrack, and ETTrack, implemented in C++ on the Jetson Xavier and Qualcomm edge devices (RB5, Open-Q™ 8250CS SOM)
- Implemented object detection (YOLOV8) and object tracking on the Genio 1200 (Mediatek mainboard) using the Yocto Project
- Implemented object detection (YOLOv6, YOLOV8) using C++ on Jetson Xavier and Qualcomm edge devices (RB5, Open-Q™ 8250CS SOM)
- Converted the project build from the Oclea SDK to utilize the Oclea Yocto V2.3.0 on the CV25 (Oclea SOM)
- Researched and implemented a C++ library for overlaying visual information: Utilizing Appsrc with NVMM memory for drawing and overlaying on the Jetson Xavier
- Deployed Android demo applications showcasing object detection and object tracking features
Main projects
AI Software Engineer (DECEMBER 2021 - NOVEMBER 2022)
- Develop an AI-powered smart surveillance camera system capable of scaling up to thousands of cameras
- Develop the HydraNets Architecture for Multi-Object Detection
- Deploy a face recognition system on the Jetson Nano
- Customize YOLO, RetinaFace, and other suitable models for optimal integration within the HydraNets architecture
- Manage the collection and labeling of real-world data for model training
- Deploy a license plate recognition model for application in traffic camera systems
- Optimize YOLO, RetinaFace, ArcFace, and other models for inference on TensorRT using FP32, FP16, and INT8 precisions
- Implement object detection (using models like YOLO, RetinaFace, and ArcFace), license plate recognition (DLC model), and other relevant functionalities on the QCS605 board (Qualcomm edge devices) using C++
Main projects
AI Software Engineer (AUGUST 2020 - NOVEMBER 2021)
- Developed a Video Search Project utilizing Deep Learning technology, implemented on QCS605 and QCS865 platforms (outsourced to Qualcomm)
- Added new features to the AIBOX product
- Successfully implemented the Synopsys video project
- Implemented a Vehicle License Plate Recognition project running on the QCS605
- Developed an AI PC that can detect icons and text on another PC (AOI PC), enabling it to control the AOI PC by simulating mouse clicks and keyboard presses
- Developed a system for recording and reproducing the actions of another PC
- Retrained the YOLO model for face mask detection using the OpenVINO toolkit, optimized for inference on the Intel® Neural Compute Stick 2
- Researched the AI Model Efficiency Toolkit (AIMET) developed by Qualcomm
Main projects
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19 Review
X
★★★★★
Vạn Xuân • Developer
I always work with Muhammad. He is easy to chat with and deliver always.
L
★★★★★
Âu Lạc • Senior Developer
Muhammad did another great job for us and provided exactly what the customer needed.
