le thang
@lethang
I’m a C++ AI & Embedded software engineer optimizing computer vision on GPU/edge.
What I'm looking for
I’m a C++ Software Engineer with over 5 years of experience in AI & Embedded Systems development, optimizing Computer Vision algorithms on GPU/Edge Devices. I build real-time, high-performance video analytics that turn client requirements into reliable products.
At NAIZ CO., INC, I developed and optimized a high-performance C++ backend for CCTV, handling 1,000+ cameras with real-time monitoring and AI-powered event detection. I researched and built Multi-Camera Multiple People Tracking using Re-Identification, vector clustering, and database ranking—improving search speed 3x faster and achieving 92% accuracy Rank1 and 97% Rank10.
Previously, at ASILLA VIETNAM, I developed backend systems for AI Video Analysis and reduced latency by 60% using GStream and DeepStream pipelines across hundreds of cameras. I refactored modern C++ pipelines to avoid copying and locking, improving performance by >30%, and optimized models for GPUs and AI accelerators like NVIDIA Jetson, Qualcomm, and Hailo.
At BKAV CORPORATION, I helped engineer “AI View” for IP and AI cameras and led an AI backend team of five, owning system architecture, API development, and component management. I enjoy translating requirements into scalable designs—then profiling, tuning, and optimizing until the system runs fast, stable, and edge-ready.
Experience
Work history, roles, and key accomplishments
Intern Embedded Software Engineer
BKAV Corporation
Oct 2018 - Aug 2019 (10 months)
Worked with a team to engineer an AI camera system spanning hardware controllers and drivers, video streaming, WebUI, and AI backend integration.
Education
Degrees, certifications, and relevant coursework
University of Transport and Communication
Degree (classification: Very Good), Control Engineering and Automation
2015 - 2020
Grade: CPA: 3.3/4.0; classification: Very Good
Activities and societies: Third prize “Programmable Racing” (2017). First prize in scientific research (2017, 2018). Third prize in “Programming Contest in University” (2018).
Studied control engineering and automation at the University of Transport and Communication (CPA 3.3/4.0, classification: Very Good) from 2015 to 2020.
Electrical Engineering Laboratory - University of Transport and Communication
Laboratory project (ROBOCON team), Electrical Engineering
2017 - 2019
Activities and societies: ROBOCON team (2017–2018): designed schematics and PCB circuits (Altium Designer) and programmed firmware/algorithms for robot movement.
Completed electrical engineering laboratory projects with the ROBOCON team, including designing schematics/PCBs and programming robot movement firmware from 2017 to 2019.
Availability
Location
Authorized to work in
Website
tinysteps.devJob categories
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