About
I am a pro-active and enthusiastic individual with a passion for Information Technology. In 2022, I completed my Master of Information Technology at UNSW, where I gained in-depth knowledge and skills in areas such as software development, database management, cybersecurity, and project management.
Prior to my IT studies, I completed my Bachelor in Civil Engineering at UTS in 2019. This degree provided me with a strong foundation in problem-solving, critical thinking, and project management, which I believe are transferable skills that are highly valued in the IT industry.
My ambition is to work in a collaborative team environment, where I can learn from experienced professionals and contribute my skills and ideas to the team's success. I am a quick learner, an excellent communicator, and always willing to take on new challenges.
Software Engineer. Quant Developer. Prop Trader.
Versatile, adaptable, and committed to delivering cutting-edge solutions.
- Website: www.JasonXu0920.github.io
- Phone: +61 466 273 028
- City: Sydney, New South Wales, Australia
- Degree: Master of Information Technology
- Email: xungui.xu@gmail.com
- Freelance: Available
Open to any work or freelance opportunity related to web development, Quant trading strategy development and validation.
Skills
• Programming • Interpersonal Skills • Cross-functional Team Leadership • Data Analysis
Resume
Sumary
Jason Xu
Highly skilled Master of Information Technology graduate with 2 years of experience as a Quant Engineer.
- Sydney, Australia
- +61 466 273 028
- xungui.xu@gmail.com
Education
Master of Information Technology
2020 - 2022
University of New South Wales, Australia
Bachelor of Engineering (Honours) in Civil Engineering
2016 - 2019
University of Technology, Sydney, Australia
Professional Experience
Quant Developer
2022 - Present
Sydney, NSW, Australia
- Cooperate with quantitative traders to analyse 10+ large noisy datasets and identify market signals to develop effective algorithms and models
- Assist in validating that 3 financial models have been correctly implemented for their intended use, and worked on general efficiency improvement and optimization
- Provide support in development, QA and 100+ production issues
Design Engineer Intern
2018 - 2019
Sydney, NSW, Australia
- Conducted concrete, timber, and drainage designs of two residential houses
- Enhanced understanding on Building Code of Australian Standards
- Reviewed all design documentation before submission to supervisor
Cadet Site Engineer
2017 - 2018
Sydney, NSW, Australia
- Collaborated with 5-member team to complete construction of a 6-storeys apartment
- Inspected and proctored site activities, kept a site diary on a weekly basis
- Monitored and tracked all subcontractors and suppliers on site
Projects
Personal Projects
Financial Data Website
ASP.NET Core, React, TypeScript, Tailwind CSS
- Implemented user-friendly features enabling stock searches, portfolio management, and access to income statements, balance sheets, and cash flow data
- Data live feed from third-party API for live pricing and volatility
- Automated trades using embed investing API, and built email notification functionality for real-time alters and performance monitoring
Live Chat Application
Python3 (Django REST Framework), React, TypeScript, Axios
- Designed and built a robust chat server administration API, enabling efficient management and organization of chat servers
- Created API endpoints for server filtering, resulting in a 40% reduction in the time users spent searching for specific chat servers
- Integrated routing within the React application, allowing users to navigate effortlessly between different sections, resulting in a 20% decrease in bounce rate
Task Management Application
Next.JS 13, Tailwind CSS, TypeScript, Appwrite, Zustand
- Developed a Trello-inspired clone, and pioneered the integration of ChatGPT for task summarization, resulting in a 25% increase in user task comprehension
- Engineered a user-friendly interface that fosters a dynamic and engaging experience, enabling users to effortlessly prioritize and organize tasks with a simple drag of the mouse
- Successfully implemented an innovative search bar feature, enhancing user efficiency and contributing to a 30% reduction in task retrieval time
Professional Projects
CNN-LSTM-Based Model for price prediction
MQL5, Python, Machine Learning, Data Visualization
- Implemented a CNN-LSTM-Based Model based on the research article("A CNN-LSTM-Based Model to Forecast Stock Prices") to CFDs market.
Full-stack Trading Application
Python3, HTML, MaterialUI, SQLite
- Built and populated the database to allow stocks browsing
- Added built-in custom Indicators
- Implemented filtering and signals notification functionalities, achieved a 67.5% of trading win-rate and sharp ratio of 2.6
Contact
Email:
xungui.xu@gmail.com
Call:
+61 466 273 028