- Location: Istanbul, Turkey - Remote: Yes — working for US companies and global teams remotely for 4 years - Willing to relocate: Open to travels, not relocation - Technologies: LLM, AI-Agents, Python, PyTorch, TensorFlow, NumPy, pandas, scikit-learn, OpenCV, Hugging Face Transformers, FastAPI, Gradio, SQL, SQLite, PostgreSQL, MSSQL, REST APIs, Git, GitHub, Docker, Argo Workflows, Celery, RabbitMQ, Pinecone, OpenAI API, LangChain, Weaviate, RAG pipelines, CNNs, Transformers, MLOps, AutoML, XAI, MLflow, Streamlit, Flask, AWS, Jupyter, matplotlib, seaborn, pytest, shell scripting, CI/CD, Web scraping - Résumé / CV: [Google Drive](https://drive.google.com/file/d/13-noXqbAhYvcUoqENXFSf_OZuMk...) | [LinkedIn](https://www.linkedin.com/in/mehmet-burak-sayici-a45294126/) - Email: [email protected] - Highlights: - Built Gesund’s MLOps platform as first engineer; company later named to CB Insights AI 100 (2024) alongside OpenAI. - Managed $400k+ software contracts, represented Gesund in meetings with FDA & White House officials. - Co-authored a Stanford-affiliated AI paper during internship at Stanford Biomedical Data Science. - Currently lead the AI Interview App at Career.io (5,000+ MAU), integrating LLMs, vector search (Chroma), and agent-based feedback loops. - Built two LLM+RAG apps post-Gesund: VC due diligence tool and YC-style growth tooling (built without LangChain). - Created MLOps system for energy forecasting across 8 cities (Python, PostgreSQL, weather APIs, LightGBM/XGBoost, MLflow). - Built a YouTube channel (15k+ subs) and a Udemy course on practical CNNs. - Portfolio Links: - Stanford Biomedical Data Science Preprint: [arXiv](https://arxiv.org/abs/2002.04836v1) - AI Interview Simulation App (5k+ MAU): [Career.io](https://career.io/interview-prep) - Gesund.ai (First Engineer, 3 years, CB Insights AI 100 2024): [gesund.ai](https://gesund.ai) - Open Source XAI Library: [GitHub](https://github.com/mburaksayici/Why) - Blog on LLMs/MLOps: [mburaksayici.com/blog](https://mburaksayici.com/blog) - Udemy Course — Beyond MNIST Example: Practical Convolutional NNs: [Udemy](https://www.udemy.com/course/beyond-mnist-example-practical-...) - YouTube Channel (13k+ subs, 500k+ views): [MakineOgrenmesi](https://www.youtube.com/MakineOgrenmesi)