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karsterr/README.md

Efe Can Kara

"Until you make the unconscious conscious, it will direct your life and you will call it fate." — Carl Jung

AI & Systems Engineer IT Specialist | Data Scientist & AI Engineer | Linux & System Automation Specialist

I build production-ready AI systems by combining machine learning, Linux infrastructure, and automation. My work focuses on transforming research ideas into reliable, scalable solutions through containerization, Edge AI, and efficient data pipelines.

Currently working at Kılıç Holding, where I contribute to enterprise IT infrastructure, data quality assurance, automation, and digital transformation initiatives while continuously expanding my expertise in artificial intelligence and systems engineering.


Current Focus

  • Production-ready AI & Machine Learning
  • Edge AI & Embedded Intelligence
  • Linux System Administration & Automation
  • Docker & Containerized Deployments
  • Signal Processing & GPR Analysis
  • Data Engineering & Quality Assurance
  • MLOps & AI Infrastructure

Technical Expertise

Artificial Intelligence

  • Deep Learning
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Signal Processing

Systems Engineering

  • Linux Administration
  • Bash Scripting
  • System Automation
  • Docker Containerization
  • Edge Computing
  • Raspberry Pi

Data Engineering

  • Data Pipelines
  • Big Data Quality Assurance
  • Data Processing
  • Workflow Automation

Tech Stack

Languages

PythonSQLBashMATLAB

AI & Machine Learning

PyTorchTensorFlowScikit-learnOpenCVNumPyPandas

Systems & Infrastructure

LinuxDockerGitGitHub ActionsRaspberry Pi

Databases

PostgreSQLMySQL

Tools

VS CodeVisual StudioPyCharmJupyter Notebook


Featured Projects

Project Area Description
AquaTrade MLOps MLOps End-to-end machine learning pipeline for automated model training, deployment, and monitoring.
AI Waste Classification Computer Vision Deep learning-based image classification system for intelligent recycling and waste sorting.

Interests

  • Artificial Intelligence
  • Systems Engineering
  • Linux
  • Edge AI
  • MLOps
  • Signal Processing
  • Data Engineering
  • Infrastructure Automation
  • Open Source

Philosophy

Great AI systems are not built by models alone—they are built through reliable infrastructure, clean data, thoughtful engineering, and continuous automation.


Website

krefecan.com

Currently being rebuilt — Coming Soon.

Pinned Loading

  1. Babintech/ai-geri-donusum-siniflandirma Babintech/ai-geri-donusum-siniflandirma Public

    Bu proje, kapalı ve siyah hazneli bir geri dönüşüm kutusunda atıkları otomatik sınıflandıran bir derin öğrenme modeli geliştirmek için hazırlanmıştır. Hedef sınıflar: plastik, cam, kağıt, metal, ka…

    Jupyter Notebook 2

  2. aquatrade-mlops aquatrade-mlops Public

    End-to-End Clean Architecture Data Pipeline & Time Series Forecasting Engine for Global Aquaculture Trade

    Python