Francisco Le - Software Engineer

Francisco Le

4.9

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Francisco Le

4.9

Age

Gender

Male

Main expertise

C++Python Software AI Computer Vision Deep Learning Image Processing Software AWS Docker Microservices MongoDB Redis

Introduction

Francisco Le is a dedicated programmer with a passion for development. He is always ready to tackle challenging tasks, particularly those involving systems that require high performance and optimization. Currently, Francisco is seeking new opportunities that offer fresh challenges, with a willingness to learn and grow in his career.

Project list

ASILLA Video Analysis System

A cutting-edge system designed for advanced video analysis, utilizing AI and modern software architecture.

- Designed the system and architecture, and refactored to enhance performance. - Integrated new features and resolved system issues with a focus on coding optimization. - Implemented microservices, logging, multithreading, and AI capabilities.

Technologies: C++/Python Deepstream NVIDIA, GStream, MongoDB, Redis, AWS, Docker, Jenskin, ZMQ, gRPC

Softbank AI Camera System

Development and integration of advanced AI capabilities on Softbank devices for enhanced camera functionalities.

Developing and integrating Pose Estimation on Softbank devices (based on Qualcomm and Hailo Chipset). Object Tracking on Softbank devices using a distributed system. Implementing Action Recognition on Jetson NX (NVIDIA). Utilizing ZeroMQ and gRPC for system communication and integration. Integrating solutions with Softbank Azure IoT Cloud.

Technologies: C++/Python Deepstream NVIDIA, GStream, MongoDB, Redis, AWS, Docker, Jenskin, ZMQ, gRPC, VS Code, Azure

Single Camera Tracking System

A project focused on developing a software system for tracking objects using a single camera setup. The system utilizes advanced algorithms for pose estimation and object tracking.

Developed software for camera tracking on Windows using C++, Cuda, TensorRT, and OpenCV. Implemented Pose Estimation and Object Tracking algorithms to enhance tracking accuracy. Collaborated with team members to improve system performance and efficiency. Tested and evaluated the system to ensure reliability and robustness.

Technologies: C++/Python Deepstream NVIDIA, GStream, MongoDB, Redis, AWS, Docker, Jenskin, ZMQ, gRPC, Cuda, Open CV, TensorRT

AI Camera - AI View

A project focused on developing advanced camera systems integrated with AI capabilities for real-time applications.

Developed Qualcomm Camera C/C++ Framework, IP Camera hardware, and Android Framework. Researched algorithms for real-time AI applications, including Object Tracking, Face Recognition, and Automatic Number Plate Recognition within IP Cameras. Designed and developed camera systems including video streaming, encoding, and decoding.

Technologies: C++, Android Framework, Deep Learning, Computer Vision, Streaming, Qualcomm Framework, Raspberry Pi, Linux Kernel Drivers

NAIZ

Development and optimization of software solutions for CCTV systems.

Research new image processing algorithms and optimize existing algorithms and performance. Develop, design, and optimize software for CCTV systems such as NVR, VAS, and VMS using Visual Studio C++, MFC, MySQL/MariaDB on Windows environments.

Technologies: MFC C++, Python, Video Streaming, MySQL/MariaDB, Computer Vision Algorithms, Pytorch

Project list

Education

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