I'm a backend engineer who enjoys turning complex problems into clean, reliable systems. My focus is distributed backend architecture — services that scale, stay fast under load, and are boring in the best way (i.e. they just work). Lately I've been pulling AI into the stack: retrieval-augmented generation, vector search, and low-latency inference pipelines.
- 🔭 Currently building enterprise-grade backend services with Spring Boot & Kotlin
- ☁️ Deploying cloud-native microservices on AWS & Azure with Docker/Kubernetes and full CI/CD
- 🧠 Applying PyTorch to RAG pipelines and vector databases
- 🌱 Actively contributing to and maintaining open-source projects
- 💬 Always up for a conversation about system design, cloud architecture, or ML infra
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Languages & Frameworks
Data & Storage
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Cloud & DevOps
AI / ML & Tools
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I'm open to backend/cloud engineering roles and interesting collaborations — reach out any time.
