🔬 Postdoctoral Research Associate at the University of North Texas (HPCC Lab) 🎓 Ph.D. in Computer Science and Engineering
☁️ I am a researcher specializing in distributed systems, serverless computing, and edge-cloud architectures. My work focuses on pioneering the Object-as-a-Service (OaaS) paradigm to simplify state management in cloud-native development.
🤖 Recently, I have expanded my focus to AI/LLM-integrated systems, developing tool-augmented LLM workflows that automate complex serverless orchestration.
- Languages: Java, Rust, Python, TypeScript, SQL
- Cloud & Orchestration: Kubernetes, Knative, Docker, Terraform, Ansible
- Data & Messaging: Kafka, Zenoh, MQTT, Redis, MinIO (S3)
- Protocols: gRPC, Protobuf, REST, WebSocket
A novel serverless paradigm that encapsulates business logic, data, and QoS requirements into a unified object abstraction, significantly reducing boilerplate and improving data locality.
- [GitHub] hpcclab/OaaS
- 📘 Object as a Service: Simplifying Cloud-Native Development Through Serverless Object Abstraction — IEEE Transactions on Computers (TC), 2025
- 📗 Streamlining Cloud-Native Application Development and Deployment with Robust Encapsulation — ACM Symposium on Cloud Computing (SoCC), 2024
An extension of OaaS for the Edge-Cloud continuum, enabling developers to declaratively configure complex QoS requirements (e.g., consistency, availability) without code changes.
- [GitHub] hpcclab/OaaS-IoT
- 📙 EdgeWeaver: Accelerating IoT Application Development Across Edge-Cloud Continuum — IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2026
A tool-augmented LLM system that automatically generates platform-agnostic FaaS workflows from natural language, achieving high accuracy in function selection and syntax generation.
- [GitHub] hpcclab/action_engine
- 📕 Action Engine: Automatic Workflow Generation in FaaS — Future Generation Computer Systems (FGCS), 2026
- 🚙 Foundation CAN LM: A Pretrained Language Model For Automotive CAN Data — IEEE Intelligent Vehicles Symposium (IV), 2026
- ☁️ Object as a Service (OaaS): Enabling object abstraction in serverless clouds — IEEE CLOUD 2023
I bridge research and systems engineering to make cloud computing efficient and developer-friendly. Always open to collaboration on serverless, Rust, and edge computing.
