I am a passionate software engineer student with a strong interest in data science and machine learning. I am eager to learn and grow in the field, and I am excited to take on new challenges.
Get in Touch
AI & Machine Learning Developer with hands-on experience in front-end development and intelligent systems.
I'm Orhan Burak Turan, a 3rd-year Software Engineering student at Manisa Celal Bayar University. I’m passionate about artificial intelligence and continuously explore new fields to apply it. I started with C# and SQL in vocational high school and have since expanded into data analysis, machine learning, and web development.
I’ve developed multiple projects involving voice recognition, document analysis, and news recommendation using Python, TensorFlow, and ReactJS. I actively experiment with convolutional neural networks and use technologies such as smolAI, n8n, and NewsAPI to build AI-driven agents.
I also participated in the TEKNOFEST Autonomous Vehicle competition with the POYRAZ Karaçor team, which strengthened my skills in interface development and teamwork under pressure. I value learning-by-doing and embrace collaborative environments where innovative ideas are welcomed.
Beyond academics, I’m a proactive member of my university’s Science and Technology Club, always seeking opportunities to grow and contribute to impactful projects in the field of AI.
I aim to combine my academic knowledge and project experience to contribute meaningfully to the world of AI, while constantly learning and adapting to new technological trends.
Python
TensorFlow
ReactJS
JavaScript
SQL
n8n
git
GitHub
NumPy
Pandas
scikit-learn
Google Cloud
Firebase
C#
Explore my recent work and technical achievements
It was made with n8n, an agent that examines the CVs sent by the candidates, evaluates their qualifications for the position they specified, extracts summary information about the candidates and saves it on Google Sheets.
A responsive and modern personal portfolio website to showcase my projects, skills, and experiences. Built with HTML, CSS, JavaScript, and Bootstrap.
In this project, an agent that recommends news according to the parameters selected by the users has been developed. NewsAPI, smolagents and ReactJS were used.
Plantly is a plant care application. You can track the disease status and watering status of your plants with Plantly. I used my own CNN model for disease prediction, LLM for recommendation system. FastAPI is used in the back-end. React-Native and various libraries were used in the front-end.
Interested in collaboration? Let's connect!
