Ming-Hsuan Kuo
Taipei
Summary
AI Engineering Manager with a strong track record, driving productivity and quality improvements through innovative AI solutions. Expertise in AI system design and cross-functional collaboration led to the successful launch of multiple applications, enhancing efficiency by 40% across various business units.
Overview
10
10
years of professional experience
1
1
Certification
Work History
AI Engineering Manager
HD Renewable Energy
Taipei
05.2023 - Current
- Built an in-house RAG system for the customer service chatbots using Ragflow, Weaviate, and LangGraph, replacing 70% of human involvement.
- Oversaw team of five AI engineers while executing 'Agent Development Life Cycle' featuring request refinement, eval set building, agent development, and continuous monitoring that optimizes agent development with 30% iteration speed
- Developed and launched four AI agents and more than ten AI applications, along with five internal AI usage training sessions for different stakeholders to successfully adopt AI, boosting productivity by an average of 40%.
AI Engineering Deputy Director
Beseye
Taipei
11.2022 - 05.2023
- Directed AI engineering team of seven to address industrial challenges with innovative in-house AI solutions.
- Led over 300 interviews, covering intern through senior software engineer levels, that supported introduction of new product line for company.
- Established in-house auto-labeling system featuring human-in-the-loop integration, contributing to 70% cost reduction in data labeling.
Senior Software Engineer
Beseye
Taipei
05.2022 - 12.2022
- Boosted real-time posture estimation accuracy from 91.5% to 97.6%, with FPS from 52 to 93, cutting the hardware cost by up to 60% in comparison to the previous model.
- Developed intrusion detection, wall climbing detection, and fall-down detection for a new SaaS product line that handles 30 GB of image data daily.
Senior Machine Learning Algorithm Engineer
LSC
Taoyuan
10.2020 - 07.2022
- Implemented an AI system with a mixture of deep learning and statistical machine learning using PyTorch and Scikit Learn for predictive analytics on LEV motors, enabling anomaly detection and assistive EMS control.
- Filed three patents in LEV innovation, including sensor fusion, GPS trajectory compression, and driver behavior pattern extraction.
Wireless System Engineer
ASUS
Taipei
01.2016 - 12.2018
- Designed and implemented a wireless communication system, including design and routing, for three ASUS Zenfone products.
Education
Master of Science(dropped) - Computer Science
University of Wisconsin-Madison
Wisconsin04-2022
Master of Science - Electrical Engineering
National Taiwan University
Taipei06-2013
Skills
- AI agent design and product management
- Context engineering
- Cross-functional collaboration
- Predictive analytics
- Agile methodologies and problem solving
- Leadership development
Affiliations
- AI Landing Consultant
- Conference speaker
Languages
Chinese (Cantonese)
First Language
English
Proficient (C2)
C2
Certification
- Google TensorFlow Developer Certificate
Timeline
AI Engineering Manager
HD Renewable Energy
05.2023 - Current
AI Engineering Deputy Director
Beseye
11.2022 - 05.2023
Senior Software Engineer
Beseye
05.2022 - 12.2022
Senior Machine Learning Algorithm Engineer
LSC
10.2020 - 07.2022
Wireless System Engineer
ASUS
01.2016 - 12.2018
Master of Science(dropped) - Computer Science
University of Wisconsin-Madison
Master of Science - Electrical Engineering
National Taiwan University
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