From ESP32/OpenMV prototypes to offline RAG apps — practical, reproducible, open-source.
Real‑time visual decision system for a one‑button platformer
Lightweight image‑to‑image pipeline
I’m a developer focused on Edge AI, computer vision, and embedded systems.
I’ve been coding since I was 12. Today I study Computer Engineering at RWTH Aachen University, exploring how software and hardware come together to solve real‑world problems.
I build lightweight AI pipelines and deploy them on microcontrollers and SoCs, with a focus on measurable latency and small memory. I also co‑founded Qgen, an EdTech startup making learning more interactive and impactful.
Organized by category. Short descriptions, tech badges, and quick links only.
End-to-end TinyML pipeline on RP2040 that classifies short audio into baby cry, doorbell, smoke alarm, and background. 33-dim lightweight features (Goertzel bands + spectral stats), multinomial Logistic Regression (~87% accuracy), and C++ firmware with real-time z-score, softmax, and hysteresis FSM.
Edge AI pipeline for detecting workload-induced heating trends on the Pico: data logging firmware + Python logger, rolling OLS slope features, Logistic Regression, and C++ inference with oversampled ADC, slope buffering, and hysteresis/hold FSM.
Record screen+keypress, browse entries, and analyze behavior-cloning datasets.
Offline PDF summarizer with page-range selection and export.
Streamlit app extracting dominant colors from images in real-time using k-means, CIE LAB, and ΔE2000.
Five scikit-learn regressors on real datasets (salary, cars, wine, insurance, trips).
Decision Tree, SVM, and KNN evaluated with Accuracy, Precision, Recall, F1.
Character-level RL to reach target sentences; simple RL/NLP crossover.
Odd/even classification with wavelet features and clustering — a playful study.
USB-CDC command console simulating an industrial field device: telemetry (internal temp via ADC4), logging, and LED control. PuTTY @115200 for interaction.
Minimal CLI to explore processes, files, and basic system calls.
I worked closely and advised Ertuğrul. During his volunteer experience in our company, TURK AI, I had the opportunity of knowing him. He is a gifted person but beside his skills he is eager to learn and discover. I was surprised how he could adapt and start to create and develop hard tasks. He gained good knowledge and hands on experience on edge computing devices like OpenMV and ESP32 both hardware and software sides. I trust him that he can bring positive impact and joy to his future colleagues. I strongly recommend him!
Based in Aachen, Germany. Open to remote/hybrid.