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
- 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.
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)
(Data Processing Libreries)
(ML and DL Libraries)
(Networking Libraries)
- 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
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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.
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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.
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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.
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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.
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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.
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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.
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A CLI tool for binding programmatically many files into an executable, able to run custom commands using the specified files.
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A python librery for extracting, decrypting and collecting sensitive data from the local databases of all major web-browsers, on windows, linux, and mac.
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Auto license plate recognition and extraction using Machine Learning.
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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.
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A Python wrapper around AliceVision's Meshroom Photogrammetry software, for automatically creating 3D models from source images of an object.
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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.