MICHAEL CHOW *******@*******.***
PROFILE
Highly skilled and results-oriented AI developer with a proven track record of designing and implementing cutting-edge AI algorithms and solutions.
Demonstrated expertise in improving accuracy and optimizing environmental segmentation for effectiveness and achieving improvement in predictive analytics for public services.
Adept at collaborating with cross-functional teams and leveraging data analysis to drive business growth and enhance stakeholder satisfaction.
RELEVANT SKILLS
EDUCATION
MSc Data Science and Analytics, The Hong Kong Polytechnic University, HK 2022-present
Relevant Modules: Data Structures & Database Systems, Deep Learning, Statistical Data Mining, Big Data Computing, Simulation & Risk Analysis, Advanced Data Analytics, High Dimensional Data Analysis MEng Mechanical Engineering, Imperial College London, UK 2014-2018
Achieve Upper Second-Class Honors
Relevant Modules: Embedded C for Microcontroller GCE A Level, Caterham School, UK 2012-2014
Cambridge Chemistry Challenge Silver award, UK Senior Mathematical Challenge Silver award RELEVANT WORK EXPERIENCES
3D Printing Engineer Comfort Me Health Wear, HK 2024-present
Designed and created personalised 3D models for production based on business or consumer needs using CAD software
Processed 3D scanning data and handled 3D product printing related matters Software Developer PA Ventures, HK 2024-present
Developed CAD pipeline for a new product launch, which allowed parametric designs for translating concept product design into functional models.
Optimised and automated complex design workflows by implementing optimisation techniques and new scripting processes, reducing required time by 25% Project Associate (AI Projects) Environmental Protection Department, HK 2022-2023
Responsible for the R&D of AI projects related to noise issues in the Assessment Noise Group
Liaised with various stakeholders to facilitate the development, testing and evaluation of AI projects
Executed on-site measurement, data collection and analysis, while streamlining the data pre- processing and annotation process
Created proof of concepts utilizing ArcGIS tools and Unity3D game engine
Sample projects with awards:
1. Modified Noisy Vehicle
Led the team in improving the computer vision aspect of the AI application, notably in developing detection logic and implementing object detection algorithms, resulting in a 30% Data Visualisation Data Pre-processing & Wrangling Data Mining UI/ UX App Development CAD Python SQL C# WPF Predictive modelling Numpy SciKit-Learn Pandas Machine Learning performance improvement
Project was awarded Silver Medal in the International Exhibition of Inventions of Geneva 2022 and The HKIE Grand Award 2023 Merit award
Granted patent in Hong Kong [1]
2. Construction Noise
Researched and experimented with deep neural network architectures and framework including Pytorch and Tensorflow for environmental sound classification
Developed mobile applications for Android platform, including designing user-friendly graphical user interface, and implementing features for concurrent long-running processes
Project awarded Gold award in HKIOA Acoustics Awards 2023 Software Developer Little Bookworm, HK 2019-2020
Developed and implemented an on-premises ERP desktop software using C#, WPF, enhancing business functionality and operational efficiency for a retail company
Engineered features and prototypes to support business requirements and streamline operation, notably in inventory and order management, resulting in 80% reduction in average order entry time
Designed a user-centric interface by incorporating user-centered design principles, user research, and implementing intuitive navigation and elements to enhance usability and user satisfaction
Established MySQL database system from scratch for application, data migration and storage; designed and implemented database schema for effective organization and management of data; incorporating stored objects for automated actions and reusable logic
Led functional system integration, solution build, iterative development and ongoing improvement using adaptive (agile) and predictive (waterfall) modes PROFESSIONAL DEVELOPMENT AND ACCOMPLISHMENTS
Data Analyst in Python Dataquest
DeepTech Talents Training Programme 2021 Hong Kong Science and Technology Park (HKSTP) Top 50 talents to present in the final stage
Professional Certificate in UI/UX Website Design with Adobe XD Hong Kong Digital Design and Marketing Institute (HKDMI)
PERSONAL PROJECTS
Car park availability analysis and predictive modelling
Trained models e.g. random forest, XGboost for parking space prediction based on user input
Obtained parking vacancy data provided by car park operators through the DATA.GOV.HK API
Preprocessed, wrangled the datasets into suitable formats for model training
Tuned model and deployed API using Django
Index tracking modelling
Performed high-dimensional data analysis on historical Hong Kong stock market time series data
Applied techniques such as Lasso and XGBoost for feature selection and weights allocation
Constructed portfolio under constrained conditions to approximate the performance of the Hang Seng Index using sliding window technique
‘QWOP’ Web game Bot Runner
Wrote a Python bot to attempt a well-known ragdoll running game ‘QWOP’
Used OpenCV, Tesseract OCR, Selenium for object detection, image processing and web automation; trained model with Keras using reinforcement learning method (DQN)
[1] K.W. Cheung, et al., “A Method for Detecting Vehicles with Modified Loud Exhausts Based on Spectrogram Classification and Object Detection via Convolutional Neural Networks.” HK Patent No. HK30088196, Sep. 22, 2023.