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ismailtrm/README.md

Ismail Tarim

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.

LinkedIn | Email | ORCID

What I work on

  • HünerEcza (formerly HünerAI): As Co-Founder and 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.

Open source

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.

Selected work

Evo-Sched

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.

Can You Detect the Difference?

First-author research comparing diffusion- and autoregressive-model text. The preprint is on arXiv; an extended version, evaluated on 3,000 samples and reaching 0.993 AUC for human-versus-AI detection, was presented at ICETAI 2026.

STOX

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.

Engineering focus

  • 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

Collaboration

I am interested in collaborating on distributed systems, Linux, infrastructure, observability, Kubernetes scheduling, and production AI.

Pinned Loading

  1. aureum_diem aureum_diem Public

    Chest X-ray pneumonia classification with Grad-CAM++ explanations and LLM-generated clinical reports (hackathon, Apr 2025)

    Jupyter Notebook

  2. mt7902-bluetooth-arch-fix mt7902-bluetooth-arch-fix Public

    Automated solution for MediaTek MT7902 Bluetooth on Arch Linux - survives kernel updates without manual intervention

    Shell 2 1

  3. secaudit secaudit Public

    Go TUI for passive domain reconnaissance (DNS, TLS, RDAP, CT logs) with guarded active scans

    Go 1

  4. evo-sched evo-sched Public

    Noise-aware multi-objective policy search for a parameterized Kubernetes scheduler

    Go