|
🧠 Distributed Core: Designing high-throughput, low-latency asynchronous microservices using Spring Boot WebFlux and FastAPI. 🔄 Event Routing: Orchestrating multi-partition Kafka clusters tuned for multi-threaded concurrency and strict manual offset validation. 🤖 Agentic Core: Constructing self-healing AI runtimes using the Model Context Protocol (MCP), tool-calling loops, and LangGraph. |
🌱 Investigating: Database concurrency mechanisms, transactional engine internals, and multi-tenant isolation patterns (RBAC/ABAC). 🛠️ Active Lab: Compiling custom middleware architectures to interface local language models with secure private relational stores. |
 • Frameworks: Spring Boot (WebFlux), FastAPI, gRPC • Languages: Java, Python, Dart, TypeScript • Concurrency: Optimistic/Pessimistic Locking, Multithreading |
 • Brokers: Apache Kafka, Event-Driven Topologies • Databases: PostgreSQL, Redis, MySQL • ORM/Drivers: Hibernate/JPA, SQLAlchemy, SQLModel |
 • Orchestration: LangChain, LangGraph, Tool Calling • Context Routing: Model Context Protocol (MCP), RAG • Vector Spaces: Vector Databases, Semantic Search |
 • Authorization: Casbin (RBAC / ABAC), Multi-Tenant Auth • DevOps Core: Docker, GitHub Actions, Linux Systems • Design: Clean Architecture, DDD, Repository Pattern |
 • Frameworks: Flutter Ecosystem • Languages: Dart Native Development • Architecture: Reactive State Management, Platform Channels |
 • Frameworks: Vue.js, Tailwind CSS Core • Languages: Modern TypeScript / JavaScript • State Engine: Pinia Centralized Data Stores |
# Live Operational Subsystems
- active_environment:
lab_name: "Advanced Backend Engineering Lab"
core_stack: [ "Spring Boot WebFlux", "Kafka", "Casbin" ]
current_state: "Optimizing partition consumption concurrency structures."
- active_environment:
lab_name: "Agent Engineering Lab"
core_stack: [ "FastAPI", "MCP", "LangGraph", "Vector DBs" ]
current_state: "Implementing cross-border multi-agent transaction safety loops."