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TalhaSikandar/README.md

Hi there, I'm Talha Sikandar 👋

Engineer of logic, architect of code, solver of digital puzzles.
Aspiring Computer Scientist with a knack for turning complex problems into elegant, efficient code.

About Me

  • Passionate about computer science, with a deep curiosity for algorithms, systems, and data.
  • Skilled in Python, C, Lua, and full-stack development—with real experience in building both low-level systems and backend web apps.
  • Natural learner—driven by projects that deepen understanding and push technical boundaries.

Featured Projects

[megaman-co] — LSTM-Based Stock Price Predictor

Crafted from scratch using Numpy in Python—no TensorFlow or PyTorch. Built to decode time series using deep learning and understand the internals of LSTM networks at a fundamental level.

[bluefin_hr] — C Framework for Hot-Reloading Shared Libraries

Legend: Created an academic-grade dynamic linking system to enable seamless .so hot-reloads during runtime—ideal for improving development workflows and minimizing downtime.

[fourier_t] — DFT & FFT Signal Processing in C

Implemented Fourier Transform algorithms from the ground up—practiced signal processing techniques using both Discrete and Fast Fourier Transforms in pure C.

[fat_fs] — Custom FAT File System

Engineered a simulated virtual disk environment—managing file metadata, cluster allocation, and directory structure using a custom FAT-style file system.

[krypton-f] — Full-Stack Supply Chain Management App

Built with Django (REST API) and Vue.js—a comprehensive system to streamline company, product, inventory, and warehouse management. Great hands-on exposure to backend and frontend integration.

[dotfiles] — Portable Dev Environment Setup

Stow-powered dotfiles repository for scalable and clean setup of Linux development environments—streamlined, customizable configurations to jump-start any machine.

Tech Stack & Tools

  • Languages: Python, C, Lua, JavaScript (Vue.js)
  • Frameworks & Technologies: Django (REST API), Vue.js, Numpy, dynamic linking, Linux DevOps tools
  • Areas of Interest: Deep learning (LSTM networks), signal processing (DFT/FFT), filesystems, dynamic runtime systems, backend architecture

Let’s Connect

Thanks for stopping by—happy coding!
Talha Sikandar

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  1. megaman-co megaman-co Public

    A fully custom LSTM-based next-day stock price predictor written from scratch in Python (using numpy) — no PyTorch, no TensorFlow. Built as an academic project to understand LSTM internals, backpro…

    Jupyter Notebook 2 1

  2. bluefin_hr bluefin_hr Public

    A lightweight C framework for hot-reloading shared libraries at runtime using dynamic linking. Designed as an academic project, it enables seamless updates to .so files without restarting the appli…

    C 1

  3. fourier_t fourier_t Public

    A C-based academic project demonstrating signal processing using Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Includes custom implementations for both complex and sine/cosine …

    C 1

  4. dotfiles dotfiles Public

    A minimal, stow-powered dotfiles setup for managing and version-controlling personal Linux development environment configurations. Portable, clean, and ideal for automation or fresh setups.

    Lua 1

  5. krypton-f krypton-f Public

    Krypton is an academic full-stack web application built to simplify supply chain management. Developed using Django (REST API) and Vue.js, it enables seamless company, product, inventory, warehouse…

    Python 1

  6. fat_fs fat_fs Public

    This project is a custom implementation of the FAT (File Allocation Table) file system written in C. It simulates a virtual disk environment. The system manages file metadata, handles cluster alloc…

    C 1