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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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dextermayhewjd/README.md

Hi there, I'm Dexter Ding (Jiahua DIng) 👋

I'm currently a third year MEng student from University of Bristol Also a Vinly Lover,Cyclist,Custom Loop builder,Drone Player,shutterbug and Developer!!!

  • 👯 trying to find an 2024 graduate scheme role related with full stack development
  • 🌱 was Summerlab Intern of University of Bristol who is building a content-based recommend system
  • 🏠 know common data structure and algorithm
  • learning everything that a full stack software developer needs
  • React, Node.js, Express.js, Docker, Kubernate, Typescript, MongoDB, PostgreSQL, Redis
  • familar with java , currently using React for fond-end and Django for backend
  • 🥅 2024 Goals: Learn more about Full Stack and LLM
  • currently doing research related with LLM's fine-tuning and multi-model Learning
  • ⚡ Fun fact: I build my custom loop deskop PC on my own(including bending loop by using Heat Gun)

Connect with me:

website website    website website

Languages and Tools:

Visual Studio Code

HTML5

CSS3

JavaScript

JAVA

React

Node.js

Spring

Git

GitHub

Python

Django

Docker

AWS



⚡ GitHub Stats

Jiahua Ding's GitHub Stats

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  1. recommding_system_front_end recommding_system_front_end Public

    collect data from user and send it to the backend, try to build it using docker

    JavaScript

  2. qa_back_end qa_back_end Public

    Django based recommending system backend that is deployed on the AWS

    Python

  3. first_full_stack_application first_full_stack_application Public

    using react as front-end and spring boot as back-end to build a application. Fully completed

    JavaScript 2

  4. ai-by-me ai-by-me Public

    this is the extra partof my first year coursework wirtten in JAVA .I use dijkstra's algorithm to help the 'AI' that I made to escape from other players.

    Java 1

  5. hitfox hitfox Public

    Year3 GameDevelopment using C# and unity

    C# 6

  6. paper-reading paper-reading Public

    Forked from mli/paper-reading

    read masterpiece of deeplearning

    1