The Scientific and Technological Research Council of Türkiye
Real-Time Voice Cloning/Translating ML Project
Machine LearningPythonSoftware Engineering
Second-year Electrical Engineering student
TSExtern at The Scientific and Technological Research Council of Türkiye
I am studying electrical engineering while developing technical foundations and preparing to begin my career.
Work samples
Portfolio of coursework, lab work, and early projects that show practical skills in electrical engineering and problem solving.
Real-Time Voice Cloning/Translating ML Project Nationwide UAV Competition (Team Meta) The Scientific and Technological Research Council of TürkiyeNationwide UAV Competition (Team Meta)
Spearheaded the design of an autonomous UAV system for a nationally 2nd-ranked team, achieving 94% accuracy in real-time object detection and mission execution.
About me
I am studying electrical engineering while developing technical foundations and preparing to begin my career.
Former Naval Officer Cadet turned EE student at BME. Dual-licensed UAV pilot with hands-on expertise in TÜBİTAK defense R&D and PyTorch ML. Passionate about intelligence frameworks, quantum physics (NATO STO Alumni), and maritime navigation. Founder of the IDU Sailing Club. Seeking internships and networking in aerospace, international security, and applied mathematics.
Education
Budapest University of Technology and Economixs
B.Sc. of Electrical Engineering · Class of 2029
Skills
Circuit analysis basicsSignal processing fundamentalsElectronics lab workSoldering and prototypingMatlab or similar simulation tools
Back to works
The Scientific and Technological Research Council of Türkiye
Real-Time Voice Cloning/Translating ML Project
Machine LearningPythonSoftware Engineering
Back to works
The Scientific and Technological Research Council of Türkiye
Nationwide UAV Competition (Team Meta)
Spearheaded the design of an autonomous UAV system for a nationally 2nd-ranked team, achieving 94% accuracy in real-time object detection and mission execution.
Overview
Spearheaded the design of an autonomous UAV system for a nationally 2nd-ranked team, achieving 94% accuracy in real-time object detection and mission execution.