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IremOztimur/README.md

Hi, I'm Irem Oztimur

AI Engineer | Agentic Systems Architect | Context Engineer

Profile views Portfolio About Me

Hi there 👋 I'm Irem, an AI Engineer focused on building practical and intelligent applications. My main interest lies in designing agentic systems and engineering the context that powers them, turning complex AI concepts into functional, full-stack products.


My Focus Areas

  • 🧠 Agentic Systems & Automation: I design and build multi-agent systems for automating complex workflows. A key area of my work has been developing intelligent CRM solutions that can orchestrate tasks autonomously.

  • 📈 Retrieval-Augmented Generation (RAG): I build and optimize RAG pipelines to provide language models with accurate, context-aware information. This often involves working with vector stores like ChromaDB.

  • 🛠️ Full-Stack AI Development: I handle the entire lifecycle of an AI application—from integrating and fine-tuning models to building the user-facing interfaces and deploying them as scalable services.

  • 🔧 Multimodal AI: I work with models that understand both text and images, like CLIP and PaliGemma, to build applications for vision-language tasks.

Core Technologies & Frameworks

LangChain LangGraph ChromaDB
PyTorch TensorFlow scikit-learn
Python C C++
FastAPI Django Node.js React
Docker DigitalOcean


Beyond the Code

My passion for creative technology extends into the arts. As part of the Istanbul Algorave community, I perform live-coded audiovisual sets under the name Aviara, using Strudel for music and Hydra for visuals. I enjoy merging instinct and logic through code on stage.

I'm also deeply curious about the future of human-computer interaction, particularly in Brain-Computer Interfaces (BCI) and neurotechnology.

Typing SVG

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  1. Turkish-Sign-Language-Recognition Turkish-Sign-Language-Recognition Public

    Recognize and interpret Turkish Sign Language gestures using machine learning. Includes tools for data collection, training, and real-time gesture detection. Built with TensorFlow and Python.

    Jupyter Notebook 4

  2. Multilayer-Perceptron Multilayer-Perceptron Public

    Implementation of a Multi-Layer Perceptron (MLP) from scratch to learn the fundamentals of neural networks. Features manual forward propagation, backpropagation, and gradient descent.

    Python 1

  3. fashionistai fashionistai Public

    Generate personalized fashion designs and find similar items online with AI. Combines image generation, segmentation, and reverse image search. Built with Python and Django.

    TypeScript 1 1

  4. 42-Handbook 42-Handbook Public

    A collection of projects from the 42 curriculum, highlighting skills in algorithms, system programming, web development, and AI. Built with C, C++, Python and Docker.

    C

  5. RayTracer RayTracer Public

    Ray tracing engine for rendering 3D scenes into 2D images. Supports basic lighting, shading, and material properties.

    Python 2

  6. AI4Robotics AI4Robotics Public

    Python implementation of Kalman Filters (KF) and Extended Kalman Filters (EKF) for robotics applications, including SLAM and localization examples. Features interactive visualizations and detailed …

    Python 1 1