AI/ML Tech Lead & Software Engineering Leader
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Auckland
Doctor of Philosophy (PhD), Information Systems
N/A – Present
The University of Manchester
Master of Science (MSc), Mathematical Finance
N/A – Present
Harbin Institute of Technology
Bachelor of Engineering (BEng), Computer Science
N/A – Present
Trust Codes
Head of Machine Learning and Data Analytics
December 1, 2022 – July 1, 2024
Auckland, New Zealand
Xtracta
Senior Artificial Intelligence Engineer
December 1, 2018 – December 1, 2022
Xtracta
Junior Artificial Intelligence Engineer
December 1, 2016 – December 1, 2018
Whānau Tahi Limited
Web Developer Intern
December 1, 2014 – February 1, 2015
Auckland, Auckland, New Zealand
The University of Auckland
Research Assistant and Graduate Teaching Assistant
July 1, 2014 – November 1, 2016
The University of Auckland
PHD Candidate
January 1, 2014 – January 1, 2021
Harbin Institute of Technology
Teaching Assistant
June 1, 2010 – October 1, 2010
Canada Tarena Technology Coporation
Software Engineer Intern
July 1, 2009 – September 1, 2009
Beijing, China
The Effect of Social Media on Market Liquidity
December 1, 2014 – December 1, 2015
Duty: •This ambitious project required strong analytical skills and high technical ability. •Utilised C# to collect data from FB and HotCopper, and Python to collect data from Twitter. •Used the machine learning package (scikit-learn) in Python to do the sentiment analysis. •Used Stata and R to run regression models. •Set goals and ensured all the system designs were realised on time and met the specifications of the project. Achievement: •Collected data of several GB. The data is well organised and stored at the university database. •The sentiment analysis algorithm is trained and ready to be used for further research. •Presented two papers at academic conferences, one being the largest conference in my field with only 10% acceptance rate.
Volatility Interpolation by PDE Techniques
May 1, 2013 – September 1, 2013
Duty: •Conducted in collaboration with NAG (The Numerical Algorithms Group) in the UK. •Planned and self taught an entirely new and complex subject (volatility interpolation). •Used C++ to import the libraries from NAG and developed three set of algorithms to interpolate the implied volatility. •Trained algorithm on the data from a research paper and tested on the data from Bloomberg. Achievement: •Successfully utilised NAG into the system. •Smoothly interpolated the data downloaded from Bloomberg.
A Single Chip Microcomputer Based Autonomous Mobile Obstacle Avoidance System
March 1, 2012 – July 1, 2012
- Designed the architecture and assembled hardware. - Developed the algorithm for autonomous obstacle avoidance. - Designed a four wheel device, which could avoid obstacle on its own. - Based on the limit of time and good result of this project, the report for this project was selected as an outstanding dissertation and a hardcopy of this report was kept at the university library for documentary.
Natural Language Processing Specialization
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Attention Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Probabilistic Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 24, 2026 – Present
Generative AI with Large Language Models
Amazon Web Services
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research to industry roles in AI and data analytics, suggests adaptability and a broad interest in technical challenges. Their experience in both academic and corporate environments, including mentoring and team collaboration, indicates a good fit for a collaborative and growth-oriented culture. The target role of Data Analyst aligns well with their demonstrated skills in data manipulation, analysis, and machine learning applications.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring skills from their roles at Xtracta. Their experience as a Research Assistant and Graduate Teaching Assistant highlights communication and instructional abilities. Project descriptions indicate a proactive approach to learning new complex subjects and problem-solving. The ability to work under pressure and meet tight deadlines is also evident.