Türkiye
I am a Software Engineer focused on building scalable cloud-native architectures. As a Valedictorian in Mathematics & Computer Science, I combine academic rigor with practical engineering to bridge the critical gap between raw LLM capabilities and robust production systems. I don’t just write code; I architect robust, cloud-native platforms where intelligent systems live and scale. I focus on two core pillars: 🧠 Advanced AI Architectures & Agents I engineer stateful multi-agent systems and GraphRAG (Retrieval-Augmented Generation) pipelines. By leveraging tools like LangGraph and Memgraph, I solve complex challenges such as long-term memory retention, context awareness, and hallucination reduction in production-grade AI applications. ☁️ Cloud-Native SRE & Systems I forge rock-solid, high-performance services using Kubernetes, Docker, and Microservices patterns. My background in distributed systems and IoT enables me to build fault-tolerant architectures that handle real-time communication (MQTT/WebSockets) with ease, leveraging tools like AWS and RabbitMQ for efficiency. 🛠 Tech Stack: • Languages: Python, Dart, TypeScript • Cloud: Docker, Terraform, Cloudflare, AWS • AI & Data: LangGraph, QDrant, MemGraph, LlamaIndex • Tools: VictoriaMetrics, Grafana, Git, Linux, FastAPI I am driven by complex engineering challenges—building systems that are elegant in design and powerful in performance.
Managing and optimizing enterprise-level Linux infrastructures, currently pursuing RHCSA certification.
Built a Streamlit app to benchmark ML models and researched Vector Databases for RAG implementations. • Managed datasets on PostgreSQL and executed software QA/testing cycles via Jira.
Administered Linux operating systems, configured firewall rules, managed DNS records, and automated system image creation for hosting infrastructure.