Software Engineer with experience building scalable backend systems, distributed systems, and AI-powered developer tools. I enjoy designing reliable infrastructure, backend services, and developer platforms that solve real-world engineering problems.
- 💻 Backend and distributed systems engineer
- 🤖 Interested in AI infrastructure and LLM-powered applications
- 🔍 Currently exploring AI Agents, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and cloud-native systems
- ⚡ Focused on system design, performance, reliability, and developer productivity
Languages: Java, Go, Python, C++, JavaScript
Backend: Spring Boot, REST APIs, gRPC, Kafka, Redis
AI / LLM: PyTorch, TensorFlow, Hugging Face, Ollama, LlamaIndex
Infrastructure: Docker, Kubernetes, Linux
- 🧠 LLM Inference Layer — building a pluggable inference runtime for efficient local and cloud-based LLM execution
- 📊 AI-Powered Log Analyzer — developing an intelligent log analysis system for anomaly detection, root cause analysis, and operational insights
I enjoy building reliable software systems with a strong emphasis on scalability, maintainability, and engineering quality.