Platform engineer. Security and provenance tooling for AI systems. Low-resource LLM training. CNCF contributor.
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eu-ai-act-compliance-kit
March 19, 2026 – Present
Automated EU AI Act (2024/1689) compliance checker: classify risk, check obligations, generate audit-ready reports and dashboards.
View Projectvllm-production-stack
March 19, 2026 – Present
Production-ready Kubernetes deployment stack for vLLM on EKS
View Projectdgx-spark-llm-stack
March 13, 2026 – Present
Pre-built PyTorch wheels and build scripts for NVIDIA DGX Spark (GB10, sm_121, Blackwell, CUDA 13.0, ARM64)
View Projectesp32-pixel-matrix
March 10, 2026 – Present
Lightweight ESP32 firmware for 8x8 WS2812B LED matrix with mobile-first web UI, pixel art, effects, and notification API
View ProjectTurkish-LLM
March 5, 2026 – Present
Turkey's first open-source family of Turkish language models (7B & 14B)
View ProjectPrompt-Injection-Firewall
February 24, 2026 – Present
Real-time prompt injection detection and prevention middleware for LLM applications. 50+ detection patterns mapped to OWASP LLM Top 10.
View ProjectVerifiable-AI-Output-Ledger
February 19, 2026 – Present
Tamper-evident, cryptographically signed audit ledger for AI/LLM outputs. DSSE envelopes, RFC 6962 Merkle proofs, OPA policy-as-code, JWT multi-tenant auth. Go server + Python & TypeScript SDKs.
View ProjectAI-Provenance-Tracker
February 8, 2026 – Present
Open-source multimodal AI provenance detection platform with explainable evidence cards, provider consensus, and benchmark-driven quality gates.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, particularly in cutting-edge AI domains like LLM security, provenance, and compliance, demonstrate a strong alignment with an innovative, research-driven, and impact-focused culture. The open-source contributions (Turkish-LLM) suggest a collaborative mindset. The diversity of projects and technologies indicates adaptability and a continuous learning orientation. The focus on practical, deployable solutions (e.g., vLLM production stack) aligns with a results-oriented environment.
Soft Skills & Operational Fit
The candidate's project portfolio indicates a strong drive for innovation, problem-solving, and a proactive approach to emerging AI challenges (security, compliance, provenance). The breadth of personal projects suggests self-motivation and the ability to work independently on complex problems. However, without specific psychometric or communication test results, it is difficult to assess collaboration, stress handling, or direct communication clarity.