Co-Founder & Developer
Sphere DSPBuilding Sphere DSP as my flagship project: AI-powered audio tools that combine DSP and ML. I lead end-to-end product work (design, frontend, backend, deployment) and engineering.
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Computer Engineering student at TED University based in Ankara, Turkey. Passionate about AI, Machine Learning, and exploring the intersection of technology and creativity.
Building Sphere DSP as my flagship project: AI-powered audio tools that combine DSP and ML. I lead end-to-end product work (design, frontend, backend, deployment) and engineering.
Oversaw music distribution operations end-to-end: managed metadata accuracy, coordinated with artists/platforms, handled QC feedback, resolved distribution issues, and liaised with SonoSuite support.
Worked on deep learning, image processing, and medical AI. Built models for age estimation, skin type classification, and dark circle detection using TensorFlow, PyTorch, and OpenCV. Focused on accuracy/efficiency and applied ML in healthcare.
Developed and implemented a real SAP ABAP project deployed inside Sun Tekstil. Designed custom programs, tables, and reports to digitalize the travel request process; hands-on with ALV reporting and workflow integration.
Contributing to the development and maintenance of TEDU's official mobile application. Building mobile interfaces using TypeScript and Tailwind CSS, implementing modern UI/UX patterns and ensuring cross-platform compatibility.
Leading tech teams and event execution for GDG On Campus TEDU.
Wrote blogs on career development, AI news, and technology culture for young professionals and students.
I produce music end-to-end, handling all stages of production from composition to final release. I specialize in arrangement, mixing, and mastering, with hands-on experience across each discipline. As a multi-instrumentalist, I primarily play bass guitar, and also perform on electric and acoustic guitars, keyboards, and drums. I release electronic music under the artist name Rawlin'. You can listen to my tracks below.
AI-powered audio tools combining Digital Signal Processing (DSP) with Machine Learning to enhance modern music production workflows.
Utilizes Google's MediaPipe framework to accurately detect and analyze hand and facial movements from real-time videos or images. Captures detailed gesture and expression data for interactive applications. (Associated with BLUESENSE)
A modern web application combining OCR (Tesseract) with AI-powered text correction (Hugging Face Transformers). Features a React/Material-UI interface for image uploads, text extraction, and correction.
A Streamlit web application that allows exporting video data (latest 200 or top 200 popular) as an .xlsx file from any YouTube channel without requiring API keys.
A modern task management application built with Next.js 14 and TypeScript, featuring priority tagging, real-time filtering, task lifecycle management, and styled with Tailwind CSS.