TECHNICAL DOSSIER
CLEARANCE: LVL 4
SUBJECT: OP_CENTER Lead Architect // ML & Security R&D
EXPERTISE: Threat detection engineering, adversarial ML, data pipelines at scale.
STATUS: ACTIVE_DEPLOYMENT
ML/AI & Cybersecurity R&D engineer specialised in high-accuracy threat-detection models (EDR, mobile) and robust, scalable data pipelines. Currently building Windows EDR at C-Prot, serving 5M+ users.
BREACHES & HARDENING
CYBER_OPSR&D Engineer — EDR & Windows
2025—NOWC-Prot Siber Güvenlik
- Architected real-time threat-detection pipelines reaching 99% accuracy across malware families.
- Developed YARA rules and behavioral signatures for proactive threat hunting.
- Researched fileless malware, LOLBins and process-injection vectors on Windows.
R&D Engineer — Android Security
2024—2025C-Prot Siber Güvenlik
- Trained ML models to detect phishing URLs and malicious APKs at high precision.
- Built heuristic detection combining behavioral analysis and static inspection.
- Wrote proof-of-concept exploits to validate and expand detection coverage.
PIPELINES & INFRASTRUCTURE
DATA_ENGML R&D Engineer
2025—NOWC-Prot Siber Güvenlik
[DATA_FEEDS] → [ML_PIPELINE] → [EDR_PLATFORM]
- Designed EDR detection models at 99% precision for enterprise clients.
- Deployed self-hosted LLMs (Ollama) for secure on-prem threat analysis.
- Built n8n workflows cutting manual ops load by 60%.
Data Engineer
2024—2025C-Prot Siber Güvenlik
- Built ETL pipelines for Android telemetry, logs and behavioral data.
- Orchestrated ingestion and retraining with Airflow & n8n.
- Optimised on-device inference via TensorFlow Lite and ONNX.
> SYS_CAPABILITIES
PYTORCH / TF
KUBERNETES
PEN TESTING
AWS / GCP