From 7d0e676bb38e9d2a99d7baaa6bb607ccb87cfd20 Mon Sep 17 00:00:00 2001 From: Nurefsan Buyukyazici <23051200013@ogr.halic.edu.tr> Date: Fri, 31 Oct 2025 18:03:19 +0300 Subject: [PATCH] my personal page --- w5/nurefsanbuyukyazici.html | 728 ++++++++++++++++++++++++++++++++++++ 1 file changed, 728 insertions(+) create mode 100644 w5/nurefsanbuyukyazici.html diff --git a/w5/nurefsanbuyukyazici.html b/w5/nurefsanbuyukyazici.html new file mode 100644 index 0000000..be93e21 --- /dev/null +++ b/w5/nurefsanbuyukyazici.html @@ -0,0 +1,728 @@ + + + + + + Mehmet Ali Özer | AI Engineer & Lecturer + + + + +
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maliozer@ai-workstation:~/portfolio
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+ MSc. Data Science | Director & Head of AI @SafeNLP.org | AI Engineer @ Orion Innovation | Lecturer @ Haliç University +
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About

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+ $ + cat about.md +
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Hello, World! I'm Mehmet Ali Özer, Director of SafeNLP.org, building safe intelligence systems and solutions focused on LLMs. I'm an AI Engineer specializing in Large Language Models and Natural Language Processing with extensive experience in distributed training and model optimization.

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Currently working at Orion Innovation as an AI Engineer and teaching at Haliç University, where I share my knowledge in Software Development and Artificial Intelligence fundamentals. My expertise spans from developing language-agnostic auto-evaluation packages for LLMs to implementing cutting-edge techniques like DPO for model alignment.

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With a Master's degree in Data Science from Yeditepe University and years of experience at companies like Huawei, I've developed solutions ranging from spell correction systems to distributed parameter-efficient training strategies. I'm passionate about pushing the boundaries of AI technology while ensuring safety and reliability in AI systems at SafeNLP.org !

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Check out my blog at safenlp.substack.com where I write about NLP and AI developments.

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Skills

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Large Language Models (LLMs)
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Python/PyTorch
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Distributed Training
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Natural Language Processing
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add yours
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Publications

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Performance Analysis of Text Chunking Methods for LLM-Based Document Summarization

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Published at UBMK Conference. Research on optimizing text chunking strategies for improved LLM-based document summarization performance.

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+ LLMs + Text Chunking + Summarization + UBMK +
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Sentiment Analysis of Twitter Reflections of Distance Education in the COVID-19 Pandemic Process

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Research analyzing public sentiment towards distance education during the COVID-19 pandemic using Twitter data and NLP techniques.

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+ Sentiment Analysis + Twitter API + NLP + COVID-19 +
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An Investigation of the Usage of Dynamic Time Warping in String Similarity Estimation

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Comprehensive investigation into DTW algorithms and their applications in string similarity estimation and pattern matching.

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+ DTW + String Matching + Algorithm Analysis + Research +
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Education

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Master of Science - Data Science

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Yeditepe University | 2020 - 2024

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Generation of Image Series From a Sequence of Related Short Sentences

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Lorem Ipsum Degree

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Lorem University | 20XX - 20XX

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

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Certifications & Awards

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→ Building Secure and Trustworthy LLMs Using NVIDIA Guardrails

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→ MLx Generative AI Theory, Agents, Products - Oxford

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→ European Summer School of Artificial Intelligence, Slovenia,

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→ Social COMQUANT'22 - Text Mining and NLP for Computational Social Sciences

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→ DeepLearning.ai Study Group 2019-2020

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★ Üstün Başarı Bursu (Outstanding Achievement Scholarship)

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Contact

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+ maliozer@safenlp.org +
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+ linkedin.com/in/maliozer +
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+ github.com/maliozer +
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+ safenlp.substack.com +
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+ safenlp.org +
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