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Akshat-mohanty/README.md
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About Me

I'm a Software Engineer based in India, focused on crafting native macOS utilities, robust full-stack web applications, and developer tools.

  • Currently Building: Native macOS applications using SwiftUI & high-performance web apps.
  • Learning & Exploring: Rust, Go, and systems-level programming.
  • Deep Dives: Classical Machine Learning algorithms from scratch and DSA design.
  • Ask Me About: Swift TypeScript React Python Java Node.js C++
  • Motto: "Trust God. Build with purpose."

Tech Stack & Tooling

Languages

Python Swift TypeScript JavaScript Java C++ Rust Go Bash

Frontend & UI

React SwiftUI Tailwind CSS Framer Motion HTML5 CSS3

Backend & Databases

Node.js Express Django MongoDB MySQL PostgreSQL

Tools & DevOps

Git GitHub Postman Vercel Vite macOS


GitHub Activity & Statistics

GitHub Stats   Top Languages

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  1. Ascent-video-downloader Ascent-video-downloader Public template

    A high-performance, aesthetic native macOS application built with SwiftUI designed to download yt videos in the highest quality possible.

    Swift 1

  2. Currency-Converter Currency-Converter Public

    Santerra Currency Converter is a simple currency exchange rate calculator which uses Frankfurter APIto access data and its updated on a daily basis.

    HTML

  3. MacIsland MacIsland Public

    MacIsland brings the iOS Dynamic Island experience to your Mac! It sits elegantly at the top of your screen, providing real-time media info & interactive playback controls without interrupting you.

    Swift

  4. sterra-weather sterra-weather Public

    Sterra Weather is a simple weather data app which uses API to access data and update on a hourly basis.

    JavaScript

  5. video-summary video-summary Public

    Summarize is an AI tool which uses Gemini 2.5 Flash to create a summary of a YouTube video within 130-150 words.

    JavaScript

  6. .screenstudio-file-to-mp4 .screenstudio-file-to-mp4 Public

    Export .screenstudio projects to MP4 — for free. It reproduces zooms, cursor following, cuts & backgrounds with Python + ffmpeg.

    Swift