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Teaching Software Engineering
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Teaching Software Engineering

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Shahaf-F-S/README.md

Hi 👋 My name is Shahaf

I am a self-taught software developer. Alongside being a passionate developer, I have been a pianist, a clay sculptor, an Origami artist, and a painter, my whole life. I also sketch and draw, compose music for the piano, and write.

I am a full-time Computer Science, Software Engineering, and Systems Engineering and Robotics teacher in high school, and I work on side projects and my hobbies in my free time.

Courses have taught and currently teach:

  • programming in Python Python
  • Programming in C# C#
  • Data Structures & Algorithms Data Structures & Algorithms
  • Networking & Cyber-Security & Data Systems Engineering Networking & Data Systems
  • Formal Languages & State Machines State Machines
  • Deep Learning Deep Learning
  • Control Systems & Robotics Deep Learning
  • Numerical Systems & Electronics Deep Learning

I was also a mentor of an FLL team and a member of an FRC team back when I was in highschool.

Fun fact: In my native language, the meaning of my name is a seagull 🪽, sounds bad, but it's not a rare name where I live.

The fields of software engineering in which I'm most interested, are:

  • Finance, Quantitative Programming, and Algorithmic Trading
  • Data Science, Machine Learning, Deep Learning, Genetic Algorithms and Neuro-Evolution
  • Cyber-Security, networking and communication, spying on devices, remote take-over, virus and worm design, and more.
  • real-time large-scale systems for data handling, processing, storing, serving, and transmission by network
  • and more...

Tools, libraries, and languages I typically use:

(Programming Languages)

  • Python Python
  • C# C#
  • Java Java
  • C/C++ C C++
  • Arduino Arduino

(Data Processing Libreries)

  • pandas Pandas
  • numpy NumPy
  • opencv OpenCV

(ML and DL Libraries)

  • tensoflow Tensorflow
  • keras Keras
  • torch Torch
  • scikit-learn Scikit-Learn

(Networking Libraries)

  • fastapi FastAPI
  • uvicorn
  • socket
  • htmx
  • scapy
  • reverse-shell-io (written by me)
  • sockets-io (written by me)
  • data-place (written by me)

(Finance Libraries)

  • yfinance
  • TALib
  • pandasTA
  • backtest.py

(Cryptocurrency Libraries)

  • ccxt
  • cryptocore (written by me)

(GUI Development)

  • tkinter (Python)
  • kivy/kivyMD (Python)
  • Android (Java/Kotlin)
  • flutter/flet (Dart/Python)

(IDEs - by JetBrains only 🙃)

  • Pycharm (Python)
  • IntelliJ (Java)
  • Clion (C/C++)
  • Rider (C#)

(other tools)

  • WireShark

Some of the projects I have worked on (or still am working on):

  • Automatic low-memory, async, real-time cryptocurrency framework for screening, recording, modeling, experimenting, and sharing data. Also manages high-level trade chain representations, including an arbitrage engine.

  • An interface and communication protocol framework for controlling computers through json based messages. Capable of crafting simple os commands up to sequential and automated advanced control commands.

  • Automation and orchestration system for controlling one computer using another, with a flexible and dynamic python/JSON based interface. Enables encapsulated/shared memory for processes, running commands sequentially/in parallel, creating custom commands, manipulating memory, transferring and creating files, executing code, running shell commands, and more.

  • A Socket-based networking framework in Python, for modular and asynchronous composition-based programming, enabling building large-scale servers and clients easily and efficiently, with custom callbacks, data storing, and automatic updates and transmissions of data across systems.

  • A Texas-Hold'em framework, with an efficient probability engine to compute all possible outcomes of the game at any stage, and calculate chances of success according to multiple criteria. Includes a game engine to run the game, vision card detection, and is easily integrated with web APIs.

  • Dynamic and pythonic packet sniffing system based around scapy sniffing, but much more modular, with real-time control over sniffing processes, a dynamic JSON supporting filtering system, for constructing static filters in real-time.

  • A CLI tool for binding programmatically many files into an executable, able to run custom commands using the specified files.

  • A python librery for extracting, decrypting and collecting sensitive data from the local databases of all major web-browsers, on windows, linux, and mac.

  • Auto license plate recognition and extraction using Machine Learning.

  • A video editing framework in Python, fully supporting video and audio, enabling you to load and save, cut and merge, edit, replace, and everything in between.

  • A Python wrapper around AliceVision's Meshroom Photogrammetry software, for automatically creating 3D models from source images of an object.

  • A composition-based framework for easily controlling loops and conditions-based operations, in single and multi-threading, asynchronous, with pausing and unpausing capabilities, timeout and delays, input arguments and real-time output storage, running, rerunning, terminating, and automatic exception handling.

Pinned Loading

  1. data-place data-place Public

    A powerfull and flexible framework for designing async socket based data streaming and destribution systems, with automated parsing, dynamic data store and high-level control hooks.

    Python 1

  2. pyvideo pyvideo Public

    A lightweight module for simple handling of video frames and audio.

    Python 1

  3. sniffing-io sniffing-io Public

    A simple package for packet sniffing, with static/dynamic filtering options, real-time reaction, I/O operations and more.

    Python

  4. socketsio socketsio Public

    A python wrapper around socket for generalized communication protocols, unified socket interface, utility methods, and modular protocol swapping capeabilities. Including a socket based Pub/Sub system.

    Python 1

  5. feature-space feature-space Public

    A modular framework for combining pandas series features

    Python 1

  6. viral-genome-mutation-analysis viral-genome-mutation-analysis Public

    An example of the analyzing the genome of a virus for better understanding of its genes, in hope to be able to assess future mutations in specific genes.

    Jupyter Notebook