Arman Zhalgasbayev
ML Engineer at Kaspi.kz
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About
Arman Zhalgasbayev works in ML & data science, based in Kazakhstan, Almaty (Kaspi.kz). ML Engineer at Kaspi.kz. Public projects on GitHub include Oikan (OIKAN is a neuro-symbolic machine learning framework inspired by Kolmogorov-Arnold representation theorem), Leetcode Solution Complexity Analyzer (LeetCode Solutions Time & Memory Complexity analyzer) and Redeepfake Demo App (ReDeepFake Demo App - deepfake detection model for 2D flat images), mostly written in Python, HTML and C++.
Projects 6
- github.com
Oikan
OIKAN is a neuro-symbolic machine learning framework inspired by Kolmogorov-Arnold representation theorem. It combines the power of modern neural networks with techniques for extracting clear, interpretable symbolic formulas from data. OIKAN is designed to make machine learning models both accurate and Interpretable.
Leetcode Solution Complexity Analyzer
LeetCode Solutions Time & Memory Complexity analyzer
github.comRedeepfake Demo App
ReDeepFake Demo App - deepfake detection model for 2D flat images.
github.comProduct Multi View Integration Guide Nano Banana
Integration Guide: Multi-View Product Box for E-Commerce Websites (powered by Gemini 2.5 Flash Image: Nano Banana)
github.comAwesome Oikan
OIKAN Awesome Projects List
github.comGesturifAI
GesturifAI is a computer vision-based gesture recognition and control system that allows users to interact with their devices using hand gestures. The system uses a camera to capture images of the user's hand movements and applies computer vision algorithms to recognize and interpret these movements.
github.com