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A privacy-conscious developer always exploring new technologies :)



āš”ļø Quick Facts

  • šŸ”­ Iā€™m currently working on various personal and group projects
  • šŸŒ± Iā€™m slowly learning more about blockchain technologies, C, and Cybersecurity
  • šŸ‘Æ Iā€™m looking to collaborate on open-source projects

silly-hacker

šŸ’— My Interests

  • šŸ’» Open-source projects
  • šŸ”’ Cybersecurity, Privacy, and Pen Testing
  • šŸ’¬ Ask me about JavaScript, Cybersecurity, and anything tech-related
  • šŸŽ‰ Fun Fact: I love hiking and outdoor adventures
  • šŸ“« How to reach me: weslakins.com
  • āš” Innovative solutions for everyday problems

šŸ–„ļø My Setup

my-workstation

Machine Specs

  • CPU: AMD Ryzen 7 5800X
  • GPU: NVIDIA GeForce RTX 3060 Ti with LHR (8 GB) Graphics Card
  • RAM: 32GB (2x16GB) HyperX XMP RGB
  • Case: Omen 30L
  • Cooler: Cooler Master MasterLiquid ML240L V2 RGB
  • Motherboard: Hana B550 AM4
  • Drives:
    • Boot: Kingston A2000 500GB NVMe SSD
    • Work: Samsung 970 EVO Plus 1TB NVMe SSD
    • Game: Seagate Barracuda 2TB HDD

Peripherals and Accessories

  • Monitor: HP 27" 144Hz
  • Keyboard: Logitech G512 Carbon RGB Mechanical
  • Mouse: Logitech G203 Lightsync RGB
  • Webcam: Logitech C920 HD Pro
  • Audio Equip:
    • Speakers: Logi Z207 Bluetooth
    • Headset: Logi G Pro X
  • Desk: idk but it's big and hides wires nicely
  • Chair: Emerge Vortex

āš™ļø Some Tools and Tech I use

Frontend HTML5 Electron JavaScript Websites / Finding vulnerabilities (mainly my own)
Backend Node.js Python Working on websites, DIY Projects
DevOps Linux Git Raspberry Pi Mostly personal interest

ā¤ļø Support Me

If you find my work useful, consider supporting me. Every bit helps keep me motivated and focused on open-source projects and tech exploration.

šŸ“Š GitHub Stats

I only started using GitHub actively in 2023, so my stats are a bit low. I'm working on improving them every day.

šŸ“ˆ My Top Languages on GitHub



"The only way to do great work is to love what you do." - Steve Jobs

Weslen Lakins's Projects

ai-application-assistant icon ai-application-assistant

A web application that uses AI to streamline routine parts of the application process such as writing cover letters.

ai-application-assistant-v2-beta icon ai-application-assistant-v2-beta

Repository for the aiapplicationassistant.com v2 features - admin blog posts, networking pro, professional headshot generator, improve your current resume, create a resume from scratch.

calorie-tracking-app icon calorie-tracking-app

A simple tool designed to help users monitor their daily calorie intake and the calories burned through exercise.

converting-python-saved-models icon converting-python-saved-models

Google Colab Notebook walking through the process of using the TensorFlow.js command-line converter to convert models made from Python (with extensions .pb or .h5) to the TensorFlow.js JSON format.

expanding-cards-web-app icon expanding-cards-web-app

Simple, user-friendly web interface designed to showcase images in card form. When a user interacts with a card, it expands to provide a better view of the image.

flixx-app icon flixx-app

Vanilla JS app that displays current movie and TV show information.

freecodecamp icon freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

goal-setting-web-app icon goal-setting-web-app

The Goal Setting Application is a full-stack web application that allows users to set, track, and manage their personal goals. Built using the MERN stack (MongoDB, Express, React, Node.js), it offers a sleek user interface for goal management along with secure user authentication.

house-marketplace icon house-marketplace

Welcome to my House Marketplace Web Application - a robust and user-friendly platform for real estate listings and management.

rest-countries-app icon rest-countries-app

The Country Details Application is an interactive web platform that allows users to explore and learn about countries around the world.

tensorflow-js-mnist-classifier icon tensorflow-js-mnist-classifier

Experiment showing how you can use the power of Machine Learning directly in your browser to train a simple Neural Network with 3 layers to classify clothing items from the Fashion MNIST dataset.

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