Software engineer focused on distributed systems, Linux, backend infrastructure, and production reliability.
I build and operate systems with Go, Python, PostgreSQL, RabbitMQ, and Kubernetes. I am currently studying Computer Engineering at Izmir Katip Celebi University and working across production AI, open-source systems, and distributed systems research.
- HunerAI: As a Founding Engineer, I design and operate backend and infrastructure for a production AI platform in the pharmacy domain. My work includes event-driven processing, cross-service consistency, observability, provider resilience, and production operations.
- Linux kernel: I contribute fixes and stable backport analysis, primarily around MediaTek Bluetooth and Wi-Fi drivers.
- Evo-Sched: I am researching Kubernetes scheduling through live workload replays and noise-aware multi-objective evaluation.
- GDG on Campus IKCU: I lead a 30-person chapter team and coordinate technical events, speakers, partnerships, and community operations.
I authored two fixes for the MediaTek Bluetooth driver, correcting subsystem-reset paths that could report failed resets as successful. Both fixes were merged into mainline for Linux 7.3 and backported to multiple stable series.
I also identified and nominated an existing mt76 Wi-Fi NULL-dereference fix for stable backporting. It shipped in Linux 7.1.4 and was later tracked as CVE-2026-64325.
A parameterized Kubernetes scheduler and noise-aware multi-objective evaluation pipeline implemented in Go. The system has been evaluated through 1,350 live workload replays covering 32,400 pods on a four-worker cluster.
First-author research comparing diffusion- and autoregressive-model text across 3,000 samples, achieving 0.993 AUC for human-versus-AI detection. Presented at ICETAI 2026.
A gRPC-based microservice platform integrating Gemini and Google Cloud PostgreSQL. The project placed 2nd nationwide at the BTK Academy x Google x Turkish Entrepreneurship Foundation Hackathon 2025.
- Languages: Go, Python, C/C++, TypeScript, SQL
- Backend and data: PostgreSQL, MongoDB, RabbitMQ, REST, gRPC
- Systems and cloud: Linux, Docker, Kubernetes, Google Cloud, AWS, Cloudflare
- Reliability: Prometheus, Grafana, Alertmanager, profiling, load testing
- Applied AI: Gemini, provider integrations, structured retrieval, production AI workflows
I am interested in collaborating on distributed systems, Linux, infrastructure, observability, Kubernetes scheduling, and production AI.