About Ken Yuen Tan:
Dynamic professional with a Bachelor's degree in Automation from Shanghai Jiao
Tong University, specializing in Computer Vision and Machine Learning. Proficient in
Python, PyTorch, and ML models. I've contributed significantly to innovative
projects, including product development of NVR and Object Detection product,
achieving tracking accuracy over 90% and Person RelD and Vision Transformers
research program, led to network performance and efficiency improvement. My
leadership experience includes successfully organizing activities and providing
strategic direction. I bring a unique blend of academic excellence, practical skills,
and leadership to make impactful contributions in Computer Vision and Machine
Learning.
Experience
FootfallCam (META Research Sdn Bhd) Nov 2023 - Present
• Led development of NVR and Object Detection product using NVIDIA Jetson
Orin, Python, Linux, and Deepstream.
• Pioneered Python-based auto-tuning algorithm for 3D stereo vision people
counter, by conducting dataset preparation, enhancing accuracy and reliability.
• Diagnosed and resolved CCTV footage issues, ensuring optimal algorithm
performance.
• Fine-tuned Nvidia Deepstream parameters, achieving 90+% tracking accuracy
• Played a vita l role in refining SOPs for Centroid projects, enhancing
organizational efficiency
• Actively promoted Centro id projects, driving substantial progress and industry
recognition.
Education
Dynamic professional with a Bachelor's degree in Automation from Shanghai Jiao
Tong University, specializing in Computer Vision and Machine Learning.
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