SHICHENG LI profile picture

Hello, I'm

Shicheng Li

Computer Science Student & Software engineer


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More About Me

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Experience


Full stack Development Experience


Team Work Experience

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Education


King's College London


Computer Science BSc

I'm a passionate Computer Science student studying at a top world university.

Academics: Currently working towards a First Class Honors in Computer Science at King's College London. I have developed proficiency in multiple programming languages, adapted seamlessly to leading operating systems, and enhanced my skills through practical project experience.

Aspiration: Future-focused Software Engineer with a passion for technology and programming. Strong academic performance, scoring notably high in core modules. Practical experience in real-world projects, emphasizing problem-solving skills.

Technical Skills: Proficient in Java, C++, JavaFX, Django, HTML, CSS. Intermediate in Scala, Python, JavaScript, TypeScript, React Native, and ROS. Eager to contribute my skills and passion to a dynamic software development role. Open to exciting opportunities where I can bring innovation, problem-solving, and a collaborative spirit.

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Explore

My Experience

Frontend Development

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HTML

Experienced

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CSS

Experienced

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TypeScript

Experienced

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React-Native

Experienced

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Node.js

Experienced

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JavaScript

Intermediate

Backend Development

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Java

Experienced

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Python

Experienced

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Scala

Intermediate

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Django

Experienced

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C++

Intermediate

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Python

Experienced

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Git

Experienced

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Browse My Recent

Projects

Project 1

FoodFa

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Project Description

The purpose and objective of our Food Logger mobile application is to address the growing challenge of maintaining healthy dietary habits amidst the demands of urban life. By offering users a convenient platform to set and track their dietary goals, this application empowers individuals to make informed choices about their food intake. Through features such as personalized profiles, goal setting functionalities, and a comprehensive shared food database in order to incentivise consumer collaboration and community, users can effortlessly monitor their nutritional intake throughout the day, week, month, and beyond. Additionally, the incorporation of gamification elements adds a motivational aspect, encouraging users to stay committed to their goals by incentivising them with โ€œgummiesโ€ which is a currency they can use to open collectable card packs, which they can then collect. Ultimately, the application serves as a valuable tool for promoting healthier lifestyles and fostering a sense of accountability and achievement among its users, all from the tip of their handheld phones. Our Food Logger mobile application is built upon a full-stack system. The frontend is developed using React Native, leveraging TypeScript for enhanced type safety and developer productivity. React Native enables us to create a cross-platform application, ensuring compatibility with both iOS and Android devices while maintaining a single codebase. On the backend we utilized node.js in order to handle server-side operations. MongoDB serves as our database solution, providing flexibility and scalability for managing user, food, meal, goal, and gamification related documents.

Notable Features

  • Integrated personalized profiles and a comprehensive shared food database into the application
  • Implemented user registration and login, creation, setting, and tracking of personal profiles, and dietary goal management
  • Users can record each meal from the shared database, expand the food database, and customize food attributes, with food record analysis views provided
  • Utilized gamification elements to motivate users to achieve their goals, maintain healthy eating habits, and enhance their sense of responsibility and achievement

During the project's testing phase, Jest framework was used to achieve a test coverage of 95% for both frontend and backend code.

Project 2

Team Feedback Website

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Project Description

As a front-end developer involved in crafting an innovative collaborative task management platform, I played a pivotal role in designing a user-centric web application aimed at optimizing team coordination and task monitoring. Leveraging the robust Django framework, our platform boasts a comprehensive array of features geared towards boosting productivity and fostering seamless collaboration among team members.

Notable Highlights:

  • User Authentication and Authorization:
    • Robust Security Measures: Implementing advanced security protocols ensures the utmost protection and privacy of user data.
    • Streamlined Account Management: Intuitive interfaces for account creation, login, and profile management elevate user experience and interaction.
  • Team Formation:
    • Dynamic Collaborative Workspace: Empowering users to form teams fosters an environment conducive to efficient project management.
    • Seamless Team Invitations: Facilitating easy team expansion through intuitive functionalities for inviting and adding members.
  • Task Management:
    • Effortless Task Assignment: Enabling users to effortlessly create, assign, and delegate tasks to specific team members enhances workflow efficiency.
    • Deadline Management: Providing the ability to set due dates for tasks ensures project timelines are adhered to and deadlines are met.
  • Dashboard Functionality:
    • Personalized User Dashboards: Each user benefits from a tailored dashboard, offering a centralized hub for managing assigned tasks and activities.
    • Team-Centric Dashboards: Dedicated team dashboards offer comprehensive overviews of ongoing projects and tasks, facilitating effective coordination and progress tracking.

By contributing to the development of this platform, I've been instrumental in shaping a tool that not only streamlines team workflows but also fosters a culture of collaboration and productivity.

Project 4

Pull Requester

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Inspiration

When I code, I'm not a fan of writing pull requests. Think about the constantly looking through each line you changed and trying to figure out how should you make it clear for other teammates to know what you did (and like what you did).

What it does

Writes pull requests comments for you.

How we built it

We used OAuth to authenticate users through GitHub and give permissions for repository access. After that, we read off the URL and use the GitHub API to request for the difference of the two branches. We use that difference information, reformat it, and feed it to LLM on VectorShift to generate pull request bodies.

Challenges we ran into

The two biggest challenges were:

  1. We couldn't figure out how OAuth works, and how to accommodate it into Chrome Extension.
  2. We had little knowledge about JavaScript, which was what we used to build the extension, making it fairly challenging to debug.

Accomplishments that we're proud of

We overcame the two biggest challenges, we got OAuth sorted out, and we also finished the project with technologies we weren't familiar with before.

What we learned

We learned a lot of technical knowledge which without saying. We also learned how to work together as a small team, and in such a short duration.

What's next for LewLiOs KeHui

The extension has been submitted for publish reviewing, coming soon!

Built With

  • Chrome
  • HTML
  • JavaScript
  • Python
  • VectorShift
Project 3

Autonomous Home Monitoring Robot

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Project Description

This project revolves around a TurtleBot3 robot designed to uphold specific household regulations during gatherings, ensuring a safe and organized atmosphere. It takes charge of patrolling rooms A, B, and D, with a focus on enforcing two primary rules: restricting human access to the kitchen (Room D) and preventing any mingling between the family cat and dog.

Notable Features

  • ROS Service Integration: Allows the robot to navigate through designated areas, offering flexibility in patrol routes.
  • Actionlib Server: Streamlines decision-making by executing action-based directives, particularly in enforcing established rules.
  • SMACH State Machine: Oversees various tasks undertaken by the robot, including navigation, rule enforcement, and utilizing Text-to-Speech technology for communication.
  • YOLO Detection: Utilizes the YOLO algorithm for instant identification of rule violations during navigation, prompting immediate corrective actions.
  • Feedback and Logging: Provides ongoing feedback on rule breaches and maintains a record of infractions for thorough evaluation.

This system epitomizes an intricate fusion of robotic autonomy, real-time detection algorithms, and prompt enforcement protocols, presenting an innovative solution for upholding decorum during social gatherings. Witness the project in action here.

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Get in Touch

Contact Me

Shicheng.li@kcl.ac.uk

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(+44)07774157321

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