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Hi, I’m TaskStalker

I'm Taskstalker, an active web developer and designer passionate about creating innovative and high-performance web applications. I have worked on multiple projects, including solo endeavors, focusing on user-friendly interfaces, creative designs, and optimized performance.


What I’m interested in/Learning now

  • Designing rules, constraints, and behaviors
  • Games and game-like systems as a way to explore complexity
  • Reducing friction instead of adding features
  • AI Integration and Robotics (Learning)
  • Useful online tools and platforms

What you’ll find here

  • Small to medium personal tools
  • Eventually serious scalable projects
  • Experiments focused projects
  • Projects that evolve as my interests and standards change
  • Some abandoned or archived repos — intentionally left as learning artifacts

Tools & Languages I’m comfortable with

  • Python

  • React/ React native

  • web tech (HTML / CSS / JS)

  • Gradually going lower-level as needed

  • GitHub

  • Git

  • Cloudflare

  • Supabase/ Firebase

  • Expo

  • VS Code


A note on intent

My goal is to refine my skills and deliver high-quality web solutions that blend functionality with design. I strive to create groundbreaking projects by combining my technical expertise with creativity.

If a project exists here, it’s because it helped me understand something better than I did before, and it helpmed me solve a problem which I've faced.


Things I want to build next

These are ideas I’m personally interested in exploring. They’re not promises or roadmaps — just problems I want to spend time with.

  • Phase52
    A turn-based, single-player card game built in Java (Servlets, JSP, JDBC). The focus is on the game engine and rules first, not visuals. I want to treat it as a systems problem rather than a UI project.

  • Environmetal Divergence Meter (IoT project)
    An environmental data monitoring project using sensors and embedded hardware. This is mainly about learning how raw sensor data flows through hardware, software, and interpretation, not about building a polished product.

  • AI Companion with feedback pipeline (Soon)

    Self aware ai where it has self feedback to correct previous mistakes during conversations using local memory storage, using Qwen 2.5B AI model and machine learning, etc.

I’m using these projects to explore different layers of systems: AI, CUDA, Machine Learning, C++, Python, Object-oriented programming concepts, etc.

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