A Computer Science enthusiast at Eötvös Loránd University, diving deep into the realms of technology. Currently, a member at GDSC ELTE, seeking novel challenges while fueled by curiosity-driven innovation. 🚀
As a Quantitative Developer Intern at Citibank and a final-year Computer Science student at Eötvös Loránd University, Budapest, I am driven by a deep passion for technology, mathematics, and innovation. My experience spans key programming languages like Python, C#, Java, and C, along with web technologies such as HTML, CSS, JavaScript, Node.js, React.js, and other tools like MongoDB, Git, and REST APIs.
I’m a curious and proactive learner, always eager to expand my skill set and take on new challenges. My strong problem-solving, analytical, and organizational abilities enable me to excel both independently and in diverse, collaborative teams.
Fluent in English (IELTS band 8), I thrive in multicultural environments and am always open to connecting with professionals who share my enthusiasm for technology.
- Oracle DB
- PLSQL
- PHP
- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 🤖
- 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 👁️🗨️
- 𝗮𝗻𝗱 𝗮𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗰𝗮𝘁𝗰𝗵𝗲𝘀 𝗺𝘆 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁 !!!🚀
- Java
- Python
- Javascript
- C#
- HTML5
- CSS
- .NET Core & .NET Framework
- PowerShell
- Shell Scripting
- Python 3-based chatbot integrated with Discord API and OpenAI's text-davinci-003 model.
- Intelligent fraud detection and prevention platform using data-driven approaches.
- Python 3-based bot leveraging OpenAI's ChatGPT model 3, AWS, Twilio, and Ngrok.
- Interactive game blending Javascript, HTML and CSS, where users strategically position patterns within a grid to complete missions and earn points, delivering an engaging gaming experience through DOM manipulation and a JavaScript scoring program.
- Implemented a machine learning model using Python, numpy, pandas, and scikit-learn with Logistic Regression to predict whether SONAR data represents a Mine or Rock. Trained on a Kaggle dataset, achieving impressive accuracy.
