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cikay/README.md

πŸ‘‹ Hi, I'm Muzaffer Cikay

Backend developer with 4+ years of experience building high-performance solutions across e-commerce, SOAR, and messaging platforms.

πŸš€ About Me

  • πŸ”­ I'm working on backend systems with Python, Django, FastAPI, and modern cloud technologies
  • πŸ€– I am currently learning machine learning
  • ✍️ I like writing, you may check my Medium account below
  • πŸ“« Reach me at: [email protected]
  • 🏠 Based in Turkey

πŸ’» Tech Stack

  • Backend: Python, Django, FastAPI, Celery, AsyncIO
  • API Design: REST APIs, GraphQL
  • Databases: MongoDB, PostgreSQL, ElasticSearch
  • DevOps: Docker, Kubernetes, Git, Github Actions
  • Data Science: Machine Learning, Neural Networks

πŸ”— Connect with me

LinkedIn StackOverflow Medium

🌟 Open Source

Projects I've Created

πŸ”¬ Personal Projects

Language Detection Neural Network

Developed a custom neural network-based language detection system capable of identifying multiple languages from text input with 90% accuracy. You can check out the source code here

  • Tech used: Python, Backpropagation, Stochastic Gradient Descent (SGD)

πŸ“ˆ GitHub Stats

Muzaffer's GitHub stats

πŸ› οΈ Professional Experience

Akinon | Backend Developer (09/2023 - 01/2025)

Enhanced commerce project through documentation, test coverage, bug fixes, and feature implementation. Led Python 3 migration and integrated payment/cargo gateways.

  • Tech used: Python, Django, Celery, PostgreSQL, ElasticSearch, Docker

Popleads | Backend Developer (05/2022 - 09/2023)

Developed Imperum, a SOAR platform from scratch with automated security operations, dynamic playbooks, rule engine, and event normalization systems.

  • Tech used: Python, FastAPI, Mongoengine, Celery, MongoDB, AsyncIO, Docker

Connexease | Software Engineer (05/2021 - 02/2022)

Integrated Instagram API into a social media management platform, centralizing message distribution between agents.

  • Tech used: Python, JavaScript, Django, Celery, React.js

πŸŽ“ Education

  • Marmara University - Mechatronics Engineering (2015-2020)

"Building robust, scalable backend solutions one line of code at a time."

Pinned Loading

  1. modelresolvers modelresolvers Public

    Modelresolvers structures your GraphQL project by feature instead of operation type such as query and mutation to manage it easier

    Python 3

  2. language-detection language-detection Public

    A language detection model using neural networks to identify different languages from text input

    Python

  3. graphql_comparison_operators graphql_comparison_operators Public

    Use comparison operators in GraphQL queries, allowing for more powerful and flexible data filtering capabilities

    Python

  4. Python-Data-Structures Python-Data-Structures Public

    Python