Date: 1 March 2025 (Sat)
Time: 15:00 – 18:00 *HKT
Coordinator: Alex Au & Tommy Han
Topic
Just For Fun: Python and Sports (Ethan Lee):
- Integrating Sportswear metrics and Python
- Data visualization
Structured Output with LLM (Alex Au):
- Current state of output structures using LLM
- Latest frameworks and libraries for LLM structured output
Machine Learning in Predictive Maintenance (Philip C.):
- Introduction to Predictive Maintenance Engineering
- Machine Learning Project on Dissolved Gas Analysis (DGA)
- Explorative Data Analysis (EDA), Models across multiple methods
Capacity:
60
Venue Info:
P4703, 4/F, Yeung Kin Man Academic Building, City University of Hong Kong, Kowloon Tong
Rundown:
15:00 – 15:30 Registration & Networking
15:30 – 15:50 Upcoming Events Promotion
15:50 – 16:10 Just For Fun: Python and Sports (Ethan Lee, 5 mins Q&A)
16:15 – 16:40 Structured Output with LLM (Alex Au, 5 mins Q&A)
16:40 – 17:00 Break & Networking
17:00 – 17:45 Machine Learning in Predictive Maintenance (Philip, 5 mins Q&A)
17:50 – 18:00 Closing & Networking
18:00 – Networking Session after Meetup (Outside City University)
Speakers Bio:
- Ethan Lee is a Lead Computer Vision Engineer at Sebit Company Limited, specializing in computer vision and industrial IoT solutions. Ethan drives innovation in leveraging Python, edge computing, and GPU-accelerated frameworks to develop mission-critical IoT-integrated tools. His technical insights have been shared at industry events like PyCon HK 2023, where Sebit highlighted cutting-edge AI advancements.
Outside of engineering, Ethan is an endurance sports enthusiast, channeling his love for cycling and running into data-driven performance optimization. - Alex Au is a Cloud Platform Engineer who has experiences in Cloud Native Technologies, Software Engineering and NLP Training. As an ex-Silicon Valley engineer, Alex Au has been dealing with AI infrastructure and contributes to training platform for AI engineers in his team.
Outside of work, he enjoys exploring the intersection of technology and creativity, often sharing insights at tech conferences like PyCon HK 2023 & 2024, and several community events. - Philip C. is an aspiring Support Engineer at MTR advocated in specialising IIoT monitoring for high-voltage equipment and ML applications. As pioneer in Industrial Fluid Anomaly Detection with Machine Learning, Philip devotes into revolutionizing Maintenance Engineering with flying colors in his company, becoming one of the two receipients the Outstanding Paper Award from HKIE.
Apart from engineering, Philip is also interested in integrating LLM with finance and is pursuing related certifications.
Audience pre-requisite:
Have basic knowledge about Python, especially interested in Data Science
