Comments URL: https://news.ycombinator.com/item?id=46150526

Points: 1

# Comments: 0

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- 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)

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- Résumé / CV: [Google Drive](https://drive.google.com/file/d/13-noXqbAhYvcUoqENXFSf_OZuMk...) | [LinkedIn](https://www.linkedin.com/in/mehmet-burak-sayici-a45294126/) mburaksayici@gmail.com

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- 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)

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- Résumé / CV: [Google Drive](https://drive.google.com/file/d/13-noXqbAhYvcUoqENXFSf_OZuMk...) | [LinkedIn](https://www.linkedin.com/in/mehmet-burak-sayici-a45294126/) mburaksayici@gmail.com

I open-sourced the RAG boilerplate I’ve been using for my own experiments with extensive docs on system design.

And I have bunch of LLM+RAG blogs I post frequently last 2 months : https://mburaksayici.com/blog

It's mostly for educational purposes, but why not make it bigger later on? Repo: https://github.com/mburaksayici/RAG-Boilerplate - Includes propositional + semantic and recursive overlap chunking, hybrid search on Qdrant (BM25 + dense), and optional LLM reranking. - Uses E5 embeddings as the default model for vector representations. - Has a query-enhancer agent built with CrewAI and a Celery-based ingestion flow for document processing. - Uses Redis (hot) + MongoDB (cold) for session handling and restoration. - Runs on FastAPI with a small Gradio UI to test retrieval and chat with the data. - Stack: FastAPI, Qdrant, Redis, MongoDB, Celery, CrewAI, Gradio, HuggingFace models, OpenAI. Blog : https://mburaksayici.com/blog/2025/11/13/a-rag-boilerplate.h...

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- 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/)

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- Email: mburaksayici@gmail.com

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- 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)

- *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:* mburaksayici@gmail.com

- *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)

*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_OZuMk... https://www.linkedin.com/in/mehmet-burak-sayici-a45294126/

*Email:* mburaksayici@gmail.com

*Highlights:* - Built Gesund’s entire MLOps platform as the first engineer; the company was later named to CB Insights’ AI 100 in 2024, alongside OpenAI and other global AI leaders. - 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+ : https://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 : https://gesund.ai - Open Source XAI Library : https://github.com/mburaksayici/Why - Blog on LLMs/MLOps : https://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

  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 

  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

Comments URL: https://news.ycombinator.com/item?id=43979378

Points: 5

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=42847451

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=41626232

Points: 1

# Comments: 0

Then talked with this startup, %99 job match with same experience they want. After a call, he mailed me that I'll be interviewed by two different guys two times, that'll take 2 hours.

Now probably I'll switch to corporate, interviews were much easier with the similar pay.

Comments URL: https://news.ycombinator.com/item?id=41498991

Points: 2

# Comments: 0