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X-pose/README.md

Hi there, I am Thathsara 👋

My Portfolio

👨‍💻 About Me :

🔭 I am an undergraduate Software Engineering Student from Sri Lanka.

🌱 I am currently learning about Linux, Docker and Distributed Systems.

✈️ Fun fact about me: I am a huge aviation enthusiast.

📫 How to reach me: Linkedin Badge

Skills icon Skills

🛠️ Languages :

Java  JavaScript  JavaScript  PHP 

🛠️ Frontend Development :

ReactJS  VueJS  tailwindcss  HTML  CSS  bootstrap  antdesign 

🛠️ Backend Development :

Express  NodeJS  rabbitmq  nginx 

🛠️ Frameworks :

NextJS  flask  materialui 

🛠️ AI/ML :

tensorflow  pytorch  pandas  scikitlearn  numpy 

🛠️ Databases :

SQLServer  MySQL  sqlite  MongoDB  Firebase 

🛠️ DevOps :

docker  kubernetes  linux  aws  GCP 

🛠️ Testing :

Cypress  Jest  Selenium  Puppeteer  Mocha

🛠️ Other Tools :

VS Code  figma  Android Studio  Eclipse  Postman  Blender  Photoshop  Google 

🔥 My Stats :

GitHub Streak

X-pose's GitHub stats

Top Langs

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  1. Falconverse-RealTime-chat-application-using-web-sockets Falconverse-RealTime-chat-application-using-web-sockets Public

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  2. DreamFitness_Gym_Management_System.io DreamFitness_Gym_Management_System.io Public

    This is a continuation of ITP group project - DreamFitness Gym management system using MERN stack

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  3. Design-pattern-boilerplates Design-pattern-boilerplates Public

    This is a collection of Design Pattern Boilerplates.

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  4. Java-Chat---Server-messaging-using-Socket-programming Java-Chat---Server-messaging-using-Socket-programming Public

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  5. Industrial-Workspace-Automation-System-OSGI_Framework Industrial-Workspace-Automation-System-OSGI_Framework Public

    Forked from ChillBroh/Industrial-Workspace-Automation-System-OSGI_Framework

    This is SLIIT year 3 second sememster Software Architecture Assignment 1.

    Java 1

  6. Deep-Learning-Skin-Disease-Classification-Using-VGG16-Transfer-Learning-Model Deep-Learning-Skin-Disease-Classification-Using-VGG16-Transfer-Learning-Model Public

    A high-performance deep learning model for classifying 17 skin diseases with VGG16 architecture. Achieves excellent recall (1.00) across all classes with a macro-averaged F1 score of 0.92. Implemen…

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