Yuqian(Ashley) He

About Me

Programmer, Thinker, Creative Doer

My name is Ashley He

Currently pursuing my MSc in Computer Animation and Visual Effects at Bournemouth University. As well as having a background in Food Science and Engineering, my passion for computer graphics especially in rendering and physical simulation led me to pursue a career in the gaming and film industries.

Before this, I have extensive experience in indie game production through various relevant school courses and projects. From this, I see myself as a good team leader with the ability to work with non-technical artists in a collaborative environment.

As an avid learner, I am constantly seeking new challenges and opportunities to grow my skills and knowledge in the field of Assistant Technical Director or Assistant R&D Engineer in both the game and film industries, and I am excited to bring my passion, dedication, and experience to a dynamic and forward-thinking team.

ResidenceUK
PostcodeBH8 8GS
AddressRoomb 805, Oxford Point, 13-15 Oxford Road, Bournemouth
e-mailashley_525@outlook.com
Phone+44 07536210826

Extracurricular Activities

Ecommerce

During my free time, I started my own brand of postcards in China and sold them online. I was responsible for creating the designs, managing the website, and handling the logistics of getting the postcards to customers. This experience not only taught me the importance of creating a visually appealing product, but it also taught me how to handle all aspects of running an online business.

Game Jam

During the final year of my college, I participated in lots of game jams, which allowed me to develop my skills in game design, programming and art direction. These experiences have taught me the importance of working in a team, as well as how to manage my time effectively under tight deadlines. I have also gained valuable experience in game development, from prototyping to final product delivery.

Teaching Assistant

For two years, I helped students during classes and office hours by providing guidance and support with their coursework. This experience taught me the importance of clear communication and how to effectively explain complex concepts to others. I am confident in my ability to work with others and to provide support when needed.

Cycling

I have been cycling for several years, both for recreation and as a means of transportation. I am well-versed in different types of cycling, including road, mountain, and touring, and I am passionate about promoting sustainable transportation and the environmental benefits of cycling.

Resume

Education

Sep 2022-Present

Bournemouth University

MSc Computer Animation & Visual Effects

Animation Software Engineering, CGI Tools, CGI Techniques, Simulation and Rendering, Pipeline and Technical Direction

2019-2022

Anhui Agricultural University

BE Computer Science & Technology (GPA: 3.92)

Data Structure, Computer Network Principles, Operating System Theory, Object-oriented Programming, Computer Composition Theory, Fundamental of Compiling, Database Principle and Technology

2017-2021

Anhui Agricultural University

BE Food Science & Engineering (GPA: 3.44)

Experiment Design and Data Processing, Linear Algebra, Probability and Mathematical Statistics, Electronics and Electrics Fundamentals, Advanced Mathematics

Experience

Jan 2022 - Mar 2022

Guangzhou Egg Information Technology Co., Ltd.

TA Intern

During the that period, I collaborated with various teams to address customer complaints and issues related to the use of Unity engine. Furthermore, I implemented optimization techniques to enhance the visual appeal of resources by adjusting parameters such as lighting, materials, animation, and others within Unity editor.

Jan 2021 - Mar 2021

Xinjiang Sailing Information Technology Co., Ltd.

Data Analytics Intern

I acquired extensive knowledge of the industrial deployment of algorithmic models through self-study and participation in group meetings. and also developed models utilizing the faiss library and compressed vector model to enhance the speed of model invocation during high concurrency deployment, resulting in a model inference speed of 0.2 seconds.