Satellite Software Design Engineer
Mission-Critical Systems · AI/ML · Ground Segment Software
Building reliable software for spacecraft operations at Turkish Aerospace.
Pursuing M.Sc. in Computer Engineering with focus on Deep Learning.
Ankara, Türkiye
I'm a Software Design Engineer with 4.5+ years of experience building mission-critical systems. My work sits at the intersection of aerospace software, artificial intelligence, and reliable backend systems.
At Turkish Aerospace, I architect software for satellite ground segments — from telemetry processing to spacecraft command systems, all built under rigorous ECSS standards and CCSDS protocols. I've contributed to multiple satellite programs, including microsatellite initiatives.
Currently pursuing my M.Sc. in Computer Engineering at Yıldız Technical University, where my thesis focuses on deep learning for exoplanet detection using Kepler/TESS mission data. My research combines signal processing, neural networks, and scientific computing.
Beyond code, I'm fascinated by the cosmos — from analyzing light curves of distant stars to tracking F-16s at airshows. This curiosity drives everything I build.
Currently exploring: AI-driven space data analysis, transformer architectures for remote sensing, and the future of autonomous spacecraft systems.
ECSS-compliant development, CCSDS protocols, Telemetry & Telecommand systems, Ground segment automation, Mission operations software
Java 21, Python, Spring Boot, FastAPI, REST API design, Microservices architecture, PostgreSQL, MongoDB
Deep Learning (CNNs, Vision Transformers), PyTorch, TensorFlow, Time-series analysis, Signal processing, Feature engineering
Git, CI/CD pipelines, Docker basics, Linux, Object-oriented design, Design patterns, Technical documentation
A selection of research and engineering projects spanning space science, AI, and healthcare.
Developing a deep learning pipeline to detect planetary transits in Kepler/TESS light curves. The system combines automated preprocessing, feature extraction (PCA, LDA, SHAP), and CNN-based classification to identify exoplanet candidates from stellar brightness data.
Building ML models to distinguish technological (artificial) signals from natural astrophysical sources. Exploring advanced signal processing and anomaly detection techniques in the context of Search for Extraterrestrial Intelligence (SETI).
Implemented and benchmarked state-of-the-art segmentation architectures (U-Net, DeepLabV3+, TransUNet, Swin-UNet, SAM) for automatic glacier front detection from Sentinel-1 radar imagery. Achieved significant improvements in IoU and F1-score metrics.
Contributed to structures, analysis, and avionics workstreams for a CubeSat-class spacecraft. Supported subsystem integration across mechanical, electronics, and software domains throughout the full development lifecycle.
Developed an ML-based decision support system for early sepsis detection, processing 46,520 patient records from the MIMIC dataset. Achieved 86.7% accuracy distinguishing sepsis from 780 other conditions. Awarded 2nd place at "Genç Beyinler Yeni Fikirler" and supported by TÜBİTAK BİDEB 2209-A grant.
Architecting mission-critical software for satellite ground segments. Developing CCSDS-compliant telemetry/telecommand modules, designing robust spacecraft-to-ground communication systems, and driving end-to-end development under ECSS standards. Contributing to multiple satellite programs including microsatellite initiatives.
Built REST API integrations and backend data processing services for customer feedback platforms. Developed scalable solutions using Python and modern web frameworks.
Developed web applications with security-first approach. Built 3 automation tools for security reporting and gained hands-on experience in information security practices.
Thesis: Deep learning for exoplanet detection from Kepler/TESS light curves. Focus areas: Machine learning, deep learning, NLP, signal processing.
Graduated with honors. Senior project on sepsis detection awarded 2nd place nationally.
Interested in collaborating on space systems, AI research, or challenging engineering problems? I'm always open to meaningful conversations and new opportunities.