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.

I currently teach the following courses:

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

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

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
• C#
• Java
• C/C++
• Arduino

(Data Processing Libreries)

• pandas
• numpy
• opencv

(ML and DL Libraries)

• tensoflow
• keras
• torch
• scikit-learn

(Networking Libraries)

• fastapi
• uvicorn
• socket
• htmx
• requests
• scapy
• backdoor-io (written by me)
• sniffing-io (written by me)
• sockets-os (written by me)
• data-place (written by me)

(Finance Libraries)

• blankly
• 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

• 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.

• 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.