I’ve written a post exploring the fundamentals of Information Retrieval and how they relate to modern RAG (Retrieval-Augmented Generation) systems.
It walks through:
• The CISI dataset used for experiments
• Sparse retrieval methods — TF-IDF and BM25, with their underlying mechanics
• Evaluation metrics — MRR, Precision@k, Recall@k, and NDCG
• Vector-based retrieval with embedding models
• ColBERT and late-interaction (MaxSim) methods
- *Location:* Istanbul, Turkey
- *Remote:* Yes — working for US companies and global teams remotely for 4 years
- *Willing to relocate:* Open to travels, not relocation
- *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.
*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.
*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: [email protected]
- 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 $400k+ in software contracts and represented Gesund in meetings with FDA and White House officials. - Co-authored a Stanford-affiliated AI paper during an internship at Stanford Biomedical Data Science. - Currently lead the AI Interview App at Career.io (5,000+ MAU), integrating LLMs, vector search (Chroma), and agent-based feedback loops. Developed two LLM+RAG applications post-Gesund: one for VC due diligence, another for growth-focused YC-style tooling, built without LangChain. - Created an MLOps system for forecasting electricity in 8 cities using Python, PostgreSQL, weather APIs, LightGBM/XGBoost, and MLflow. - Built a YouTube channel with 15k+ subscribers and a Udemy course on applied computer vision and deep learning.
Portfolio Links:
- Preprint of an internship placed at Stanford Biomedical Data Science Faculty "Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma" : https://arxiv.org/abs/2002.04836v1 - AI Interview Simulation app, 5k MAU+ : career.io/interview-prep - First engineer at gesund.ai for 3 years, listed in CB Insights AI 100 2024 along with OpenAI. Managing 500k$ 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
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: [email protected]
- 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 $400k+ in software contracts and represented Gesund in meetings with FDA and White House officials.
- Co-authored a Stanford-affiliated AI paper during an internship at Stanford Biomedical Data Science.
- Currently lead the AI Interview App at Career.io (5,000+ MAU), integrating LLMs, vector search (Chroma), and agent-based feedback loops.
- Developed two LLM+RAG applications post-Gesund: one for VC due diligence, another for growth-focused YC-style tooling, built without LangChain.
- Created an MLOps system for forecasting electricity in 8 cities using Python, PostgreSQL, weather APIs, LightGBM/XGBoost, and MLflow.
- Built a YouTube channel with 15k+ subscribers and a Udemy course on applied computer vision and deep learning.
Portfolio Links:
- Preprint of an internship placed at Stanford Biomedical Data Science Faculty "Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma" : https://arxiv.org/abs/2002.04836v1
- AI Interview Simulation app, 5k MAU+ : career.io/interview-prep
- First engineer at gesund.ai for 3 years, listed in CB Insights AI 100 2024 along with OpenAI. Managing 500k$ contracts, demoing to White House/FDA/senates. Healthcare MLOps Evaluation platform for FDA Approvals : gesund.ai
- Multilingual Youtube channel on ML/DL Theory/Applications that has 13.000 subscribers and more than half million views : https://www.youtube.com/MakineOgrenmesi
Just don't do 2 1.5 hours technical interviews after an intro call, hire good by relying on resume mostly. I was in a call with a startup, highly relevant experience to their value proposition, worked on startup for 3 years, as I believe I'm 10x engineer.
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.
