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Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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@inpocket-games

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selimozten/README.md

Selim Ozten

ML & Blockchain Engineer | High-Performance Systems Architect | Co-Founder

Welcome to my GitHub profile! I'm a passionate engineer at the intersection of AI, blockchain, and high-performance systems. As the Co-Founder and Tech Lead at ganbitera.io and inpocket.ai, I'm constantly pushing the boundaries of what's technically possible with cutting-edge technologies.

🛠️ Core Competencies

  • AI & Machine Learning
  • Blockchain Development (Sui/Move)
  • High-Performance Systems Engineering
  • Performance Optimization (Golang/Zig/CUDA)
  • System Architecture Design

💻 Technical Skills

Category Skills
AI & ML TensorFlow, PyTorch, NLP, Computer Vision
Blockchain Move Language, Sui, Solidity, Smart Contracts
High-Performance Golang, Zig, CUDA, Trading Systems, Sub-ms Latency
Programming Python, JavaScript, Golang, Move, Zig, C++
Cloud & DevOps AWS, GCP, Docker, Kubernetes, CI/CD

🚀 Featured Projects

ganbitera.io - AI Native/Sui Native NFT & Token Launchpad

Built a high-performance platform on Sui blockchain with cutting-edge Move language contracts and AI-driven features, pushing the boundaries of what's possible in the Web3 space.

High-Performance Matching Engine

Engineered a blazing-fast order matching system using Golang, Zig, and CUDA, achieving throughput rates of millions of operations per second with sub-50-microsecond latency.

inpocket.ai - Enterprise AI Solutions

Developed advanced ML models for businesses, streamlining operations with process optimization, predictive analytics, and custom ML solutions that drive real-world impact.

System Architecture for Blockchain Applications

Designed scalable, fault-tolerant systems handling millions of daily transactions, implementing innovative approaches to overcome traditional blockchain performance limitations.

NLP Document Processing

Created a system using transformer models to understand and categorize documents, enabling businesses to process and extract insights from unstructured text data at scale.

🌟 Innovation Focus

  • Move Language Development on Sui blockchain
  • High-Performance Trading Systems with microsecond-level latency
  • AI/Blockchain Integration for next-generation applications
  • CUDA Optimization for parallel processing at scale
  • Low-Latency System Design for real-time applications

🎓 Continuous Learning

I am constantly pushing the limits in:

  • Advanced blockchain architectures and smart contracts
  • High-performance computing and GPU optimization
  • Cutting-edge AI algorithms and architectures
  • System design for extreme scale and performance

📊 GitHub Stats

GitHub Streak

🤝 Let's Connect

I'm always excited to collaborate on innovative projects that push technological boundaries:

"I absolutely love pushing myself and technology to its limits. Innovation happens at the edge of possibility."

Pinned Loading

  1. ourobroker Public

    OuroBroker is an advanced, AI-driven algorithmic market maker designed for decentralized exchanges (DEXs). By leveraging cutting-edge machine learning techniques, high-performance computing, and bl…

    Python 1

  2. triarb-nexus Public

    TriArb Nexus is an advanced triangular arbitrage bot for cryptocurrency trading. It leverages real-time market data to identify and execute profitable trades across three trading pairs, maximizing …

    Python 5 2

  3. deep-learning-cfd Public

    This advanced project explores cutting-edge applications of deep learning in computational fluid dynamics (CFD). We aim to develop novel neural network architectures to accelerate CFD simulations, …

    9 2

  4. fluid-properties-ml Public

    This project aims to predict fluid properties using various machine learning techniques.

    4

  5. atvap Public

    This project implements an advanced system for analyzing and predicting cryptocurrency trading volumes using LSTM neural networks. It's designed to provide our exchange with insights into future ma…

    Python

  6. mmsag Public

    This project implements a sophisticated sentiment analysis system that combines market data with social media sentiment to predict cryptocurrency price movements.

    Python

276 contributions in the last year

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Contribution activity

April 2025

24 contributions in private repositories Apr 2 – Apr 14
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