Experience

March 2024 - June 2024 Practical Supervisor, COMP 2012, Data Structures Essentials at University of South Australia

– Supervised COMP 2012, Data Structures Essentials course.
– Guided students in understanding and implementing fundamental data structures like arrays, linked lists, stacks, queues, trees, and graphs.
– Provided hands-on support during lab sessions to enhance students’ proficiency in programming and algorithmic problem-solving.
– Offered constructive feedback and mentoring to help students develop effective coding practices.
– Collaborated with course instructors to ensure alignment between practical exercises and theoretical concepts.
– Facilitated a learning environment aimed at preparing students for real-world software development challenges.

March 2021 - Sept 2021 Reinforcement Learning Algorithm Researcher at InspirAI (https://inspirai.com/)

– Conducted research in reinforcement learning algorithms at Organisation during internship tenure.
– Contributed to the development and enhancement of algorithms aimed at optimising decision-making processes in dynamic environments.
– Investigated and implemented various reinforcement learning techniques such as Q-learning, policy gradient methods, and deep reinforcement learning.
– Collaborated with senior researchers to analyse experimental results and refine algorithmic approaches based on empirical findings.
– Documented research findings and contributed to technical reports and presentations aimed at sharing insights within the team.
– Engaged in discussions and brainstorming sessions to explore innovative solutions to complex problems in reinforcement learning.

March 2018 - Dec 2020 Back-End (PHP) Engineer at ZhongKe AI Cloud Technology Co

– Developed backend systems using PHP programming language.
– Designed and implemented scalable and efficient server-side applications to support company operations and client needs.
– Integrated backend logic with front-end components and databases to ensure seamless functionality of web applications.
– Collaborated with cross-functional teams including front-end developers, designers, and project managers to deliver robust solutions.
– Maintained and optimized existing backend codebase, ensuring high performance and reliability of web services.

March 2015 - March 2018 Machine Learning Engineer at 58.com

– Developed and implemented machine learning algorithms and models to solve complex problems and improve business processes.
– Conducted data analysis, feature engineering, and model selection to achieve optimal predictive performance.
– Collaborated with data scientists, software engineers, and domain experts to integrate machine learning solutions into applications.
– Utilized Python libraries such as Scikit-learn, Pandas, and TensorFlow for data preprocessing, model training, and evaluation.
– Worked on tasks like classification, regression, clustering, and anomaly detection using supervised and unsupervised learning techniques.