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CemRoot/README.md
Cem Koyluoglu — GenAI Engineer and ML Researcher in Dublin. I turn frontier models into products people actually use.

Website: cemkoyluoglu.codes LinkedIn X: @Cockroachs_ Hugging Face ORCID

Retrieval-Augmented Generation · Agentic Workflows · LLM Evaluation · Multimodal AI · Computer Vision · Fine-tuning · LLMOps 01 — whoami Agent trace: GenAI Engineer in Dublin · MSc Artificial Intelligence, National College of Ireland · deepfake detection paper in Springer CCIS vol. 2950 · building Gleano, AI Broker and cemkoyluoglu.codes · focus on agents, RAG, evals, LLMOps and multimodal AI.

I'm Cem, a GenAI engineer based in Dublin. I build LLM agents, retrieval pipelines and the evals that keep them honest, and I care most about the unglamorous part: getting them into production and keeping them useful there. My MSc research on deepfake detection was peer-reviewed and published by Springer.


02 — Selected work

Gleano: a Chrome extension that turns YouTube videos and articles into summaries, key points, AI podcasts and grounded chat. DeepFake Detection: EfficientNet-B7 with attention, published at AICS 2025.

AI Broker: an agentic trading advisor built on FastAPI, Groq, Cerebras, pgvector and Telegram. cemkoyluoglu.codes: a portfolio that runs scrapers, news-ranking agents and a RAG chatbot.

Ireland RAG Assistant: answers expat questions grounded in official Irish government documents. Daft.ie Dublin Monitor: watches rental listings and alerts on Telegram.


03 — Research A Novel Deep Learning Framework for DeepFake Detection Using Attention-Enhanced EfficientNet-B7 — Koyluoglu, Staikopoulos, Raj. AICS 2025, Springer CCIS vol. 2950, pp. 401–413.

Paper · Live demo · Model weights · Thesis code

Cite this paper
@inproceedings{koyluoglu2026deepfake,
  title     = {A Novel Deep Learning Framework for DeepFake Detection Using Attention-Enhanced EfficientNet-B7},
  author    = {Koyluoglu, E. C. and Staikopoulos, A. and Raj, K.},
  booktitle = {Artificial Intelligence and Cognitive Science (AICS 2025)},
  series    = {Communications in Computer and Information Science},
  volume    = {2950},
  pages     = {401--413},
  publisher = {Springer, Cham},
  year      = {2026},
  doi       = {10.1007/978-3-032-25809-0_32}
}

04 — Toolbox Languages: Python, TypeScript, JavaScript, SQL, Bash, C++, R, Julia. LLMs and model APIs: Claude, OpenAI, Gemini, Llama, Mistral, Ollama, Groq, vLLM. Agents and orchestration: LangChain, LangGraph, LlamaIndex, CrewAI, MCP, Pydantic, n8n, Zapier. RAG and vector search: pgvector, Supabase, Pinecone, Qdrant, Redis, Elasticsearch, Neo4j, Kafka. Training and deep learning: PyTorch, Transformers, TensorFlow, Keras, scikit-learn, CUDA, ONNX, Weights and Biases. Serving and LLMOps: FastAPI, Docker, Gradio, Streamlit, MLflow, GitHub Actions, Vercel, Google Cloud.
05 — Activity GitHub contribution heatmap and totals for the last 12 months, refreshed daily.
Thanks for scrolling — let's build something that ships.

Profile views   daily.dev

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