🧠 Civil Engineering Student · 💻 Hobbyist Programmer · ⚙️ Maker · 📐 Math Enthusiast

• 📐 differintP: Modern, pure Python library for numerical fractional calculus (differentiation/integration). Features improved performance, broader method coverage, and easier extensibility compared to the original differint.

• ⚡ differintC: C++-accelerated version of the differint library for high-performance fractional calculus in Python. Provides dramatically faster core algorithms with the same easy interface, ideal for heavy-duty scientific or engineering use.

• 🚀 P2Ray: A CLI-based V2Ray config manager for power users. Automates config management and connection tracking for VLESS nodes.

• 📊 pmath (coming soon): A comprehensive math library for Python—supports:

  • Scalar, vector, and complex functions
  • Polar and multivariable curves
  • Vector‐valued fields and discrete data
  • Utilities from trig to gamma (built atop NumPy/SciPy or implemented from scratch)
  • Data manipulation and differentiation/integration tools

• 🧠 custom-intent: High-level API for building simple neural networks with minimal boilerplate.
• 🖼️ BIR: Bulk Image Resizer — CLI tool to resize large image sets efficiently.
• 🔁 ResNet-block-factory: Modular Keras implementation of several ResNet block variants.
• ➕ weighted-sum-loss-keras: Combine multiple loss functions with ease in Keras models.
• 📈 simple-task-manager: Lightweight system monitor for CPU/RAM usage, minimal dependencies.

• 🔧 klipper_tmc_autotune: Dynamic tuning tool for stepper motor drivers (Klipper firmware).

Second‑year civil engineering student with a passion for math, algorithms, and hands‑on projects—from 3D‑printer control circuits to Python libraries.