Location: Istanbul, Turkey
  Remote: Yes, working for US companies and global teams remotely for 4 years. 
  Willing to relocate: open to travels but 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:  https://drive.google.com/file/d/13-noXqbAhYvcUoqENXFSf_OZuMkGpzsq/view?usp=sharing ,  https://www.linkedin.com/in/mehmet-burak-sayici-a45294126/ 
  Email: mburaksayici@gmail.com 

- Managed $400k+ in software contracts and represented Gesund in meetings with FDA and White House officials.

- Co-authored a Stanford-affiliated AI paper during an 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.

- Developed two LLM+RAG applications post-Gesund: one for VC due diligence, another for growth-focused YC-style tooling, built without LangChain.

- Created an MLOps system for forecasting electricity in 8 cities using Python, PostgreSQL, weather APIs, LightGBM/XGBoost, and MLflow.

- Built a YouTube channel with 15k+ subscribers and a Udemy course on applied computer vision and deep learning.

Portfolio Links:

- Preprint of an internship placed at Stanford Biomedical Data Science Faculty "Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma" : https://arxiv.org/abs/2002.04836v1

- AI Interview Simulation app, 5k MAU+ : career.io/interview-prep

- First engineer at gesund.ai for 3 years, listed in CB Insights AI 100 2024 along with OpenAI. Managing 500k$ contracts, demoing to White House/FDA/senates. Healthcare MLOps Evaluation platform for FDA Approvals : gesund.ai

- Open Source XAI Library : https://github.com/mburaksayici/Why

- Blog on LLMs/MLOps : mburaksayici.com/blog

- Udemy course I've published at 2018, on practical usages of CNNs, entitled "Beyond MNIST Example: Practical Convolutional NNs" : https://www.udemy.com/course/beyond-mnist-example-practical-...

- Multilingual Youtube channel on ML/DL Theory/Applications that has 13.000 subscribers and more than half million views : https://www.youtube.com/MakineOgrenmesi