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Hi, I'm Kaan Egemen Sen, a passionate Artificial Intelligence student with a keen interest in Machine Learning, Data Science, and large language models. I've had the opportunity to work with diverse teams and on exciting projects, from deploying scalable data pipelines at the World Trade Organisation to enhancing emotionally sensitive chatbots for mental health applications. Outside of my internships, I enjoy leading student developer clubs and working on personal projects like automated YouTube management bots and NLP chatbots. I'm always eager to learn and collaborate, aiming to leverage AI to solve real-world problems.…Hi, I'm Kaan Egemen Sen, a passionate Artificial Intelligence student with a keen interest in Machine Learning, Data Science, and large language models. I've had the opportunity to work with diverse teams and on exciting projects, from deploying scalable data pipelines at the World Trade Organisation to enhancing emotionally sensitive chatbots for mental health applications. Outside of my internships, I enjoy leading student developer clubs and working on personal projects like automated YouTube management bots and NLP chatbots. I'm always eager to learn and collaborate, aiming to leverage AI to solve real-world problems.

Kaan Egemen Sen

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Hi, I'm Kaan Egemen Sen, a passionate Artificial Intelligence student with a keen interest in Machine Learning, Data Science, and large language models. I've had the opportunity to work with diverse teams and on exciting projects, from deploying scalable data pipelines at the World Trade Organisation to enhancing emotionally sensitive chatbots for mental health applications. Outside of my internships, I enjoy leading student developer clubs and working on personal projects like automated YouTube management bots and NLP chatbots. I'm always eager to learn and collaborate, aiming to leverage AI to solve real-world problems.…Hi, I'm Kaan Egemen Sen, a passionate Artificial Intelligence student with a keen interest in Machine Learning, Data Science, and large language models. I've had the opportunity to work with diverse teams and on exciting projects, from deploying scalable data pipelines at the World Trade Organisation to enhancing emotionally sensitive chatbots for mental health applications. Outside of my internships, I enjoy leading student developer clubs and working on personal projects like automated YouTube management bots and NLP chatbots. I'm always eager to learn and collaborate, aiming to leverage AI to solve real-world problems.

Available to hire

Hi, I’m Kaan Egemen Sen, a passionate Artificial Intelligence student with a keen interest in Machine Learning, Data Science, and large language models. I’ve had the opportunity to work with diverse teams and on exciting projects, from deploying scalable data pipelines at the World Trade Organisation to enhancing emotionally sensitive chatbots for mental health applications.

Outside of my internships, I enjoy leading student developer clubs and working on personal projects like automated YouTube management bots and NLP chatbots. I’m always eager to learn and collaborate, aiming to leverage AI to solve real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

French

Advanced

Turkish

Fluent

German

Beginner

Italian

Beginner

Work Experience

Data Engineer Intern at World Trade Organisation (WTO)

August 31, 2025 - July 21, 2025

Worked on tariff processing data obtained from countries. Created a processing pipeline from data obtention to deployment to the TTD platform. Designed and deployed a scalable data processing pipeline using PySpark and Azure Databricks to automate ingestion and validation of yearly trade notifications from 166 countries.

Machine Learning Engineer Intern at Healthy Co

September 30, 2024 - July 21, 2025

Fine-tuned Gemini LLM to create an emotionally sensitive chatbot. Designed a Retrieval-Augmented Generation (RAG) pipeline to integrate mental health definitions into conversational AI. Implemented classification logic to dynamically detect user-reported conditions during chat sessions. Processed structured diagnostic labels and unstructured psychological notes to improve LLM response accuracy.

Machine Learning Engineer Intern at Keyvian

August 31, 2023 - July 21, 2025

Created a Trust Score calculator for cryptocurrencies that decreased computing time by 40%. Significantly boosted model accuracy to nearly 88% using machine learning techniques. Used Python with PyTorch, NumPy, Matplotlib, Pandas, Scikit-learn, C++, Git, and AWS.