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 TouchAI & Machine Learning Developer with hands-on experience in front-end development and intelligent systems.
Hello, I’m Orhan Burak Turan, a 22-year-old senior Software Engineering student at Manisa Celal Bayar University. took my first steps in coding at high school in the Database Programming track, where I built C# and SQL-driven applications. Those early projects cemented my passion for software and led me to pursue a degree in Software Engineering.
During my first university years I explored several paths. I initially set my sights on becoming a full-stack web developer, gained hands-on experience, and reached the finals of the Teknofest competition with my team. In third year, however, the rapid progress in AI shifted my focus: I decided to dedicate my career to AI-driven solutions.
I am now an AI Engineer Intern at Bluesense AI, overseeing the entire lifecycle of machine-learning solutions—from model development and API deployment to academic documentation.
My goal is to create scalable, reliable products that make life easier through artificial intelligence, and I continuously up-skill to make that vision a reality.
Explore my recent work and technical achievements
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.
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.
Interested in collaboration? Let's connect!