online · Tokyo, Japan · UTC+9
DennySORA

李汶道 DennySORA ~/dennysora

Senior Cloud Engineer

AI Systems · Backend · Infrastructure · Cybersecurity

Backend and infrastructure specialist with expertise in Kubernetes, cloud services, and microservice development. Proficient in Go and Python with demonstrated success in optimizing cloud costs and performance.

Skills

AI & LLM Engineering

Transformer Architecture Quantization (FP8 · INT4 · W/A/KV) vLLM · TensorRT-LLM Post-Training (SFT · DPO · GRPO) Interpretability (SAE · SVD)

Programming Languages

Go (Gin) Python (FastAPI · Asyncio) Rust

Cloud & Infrastructure

AWS Kubernetes (EKS) Helm Terraform

Data & Messaging

Apache Kafka PostgreSQL Redis

DevOps & Observability

GitHub Actions GitLab CI OpenTelemetry Prometheus Grafana Loki Tempo

Web & API

Vue.js (Nuxt 4) Tailwind CSS 4 RESTful API

Experience

v4.0.0 Japanese Language Study Tokyo School of the Japanese Language (Naganuma School) 2026.04 – PRESENT ACTIVE
Study
  • Full-time Japanese language study in Tokyo.
v3.0.0 Senior Cloud Engineer TrendMicro 趨勢科技 2022.07 – 2026.04
Orchestration

Companion-Orchestrator Agent Center

  • Designed and shipped an agent-orchestration platform on Google ADK with clear app architecture and module boundaries.
  • Implemented Agent-to-Agent (A2A) communication to coordinate remote agents.
  • Built an LLM agent with tool use, state tracking, retries, and error handling.
  • Delivered a web Playground for scenario testing and prompt/tool debugging; frontend developed independently with AI-assisted workflows.
  • Created a CopilotKit adapter and composed multi-step LangGraph flows.
  • Enabled dynamic agent loading via database-backed configs for zero-downtime rollout.
  • Authored ADK ↔ AGUI Middleware (Python 3.13+) providing SSE streaming and Human-in-the-Loop workflows; integrated with the orchestrator.
  • Achieved an end-to-end pipeline A2A → ADK → LangGraph → CopilotKit adopted cross-org with other teams.

ADK-AGUI Middleware (GitHub)

Platform

Platform Development & API Management

  • Built a plugin-based API platform that lets teams ship integrations without core changes; provided lifecycle hooks, auth, and rate limiting.
  • Developed a Collector Manager for configurable log routing with backpressure and retry controls.
  • Created a Mini-Companion system with GitHub-based sync for declarative workflows.
  • Implemented a Companion Proxy enforcing PII redaction and policy-based request filtering.
Infrastructure

Cloud Infrastructure Optimization

  • Re-architected EKS node groups: moved monitoring to ARM nodes for cost savings and introduced dedicated CPU-/memory-optimized pools.
  • Resolved Kubernetes compatibility defects in Stream Lake environments.
  • Authored modular Helm charts to standardize deployments across services.
  • Fixed CNI IP exhaustion and routing issues to stabilize multi-tenant clusters.
AI & Security

AI Integration & Data Security

  • Built an AWS Comprehend PII pipeline that reduced costs by ~99% while preserving detection quality.
  • Created an AI Proxy Adapter with Amazon Bedrock integration and policy enforcement.
  • Developed a Kafka → Neptune pipeline for MITRE-aligned knowledge graphs.
  • Implemented fine-grained AI access controls with auditability and tenant isolation.
Leadership

Technical Leadership

  • Produced executive-level AI demos for the CEO's NVIDIA presentation.
  • Led internal workshops on AI tooling and best practices.
  • Recognized as Employee of the Quarter.
  • Drove cross-functional enablement through reusable platform components.
v2.0.0 Back-End Engineer KKStream 2021.06 – 2022.07
DevOps

DevOps & Infrastructure

  • Optimized GitLab CI/CD pipelines, reducing deployment time by 40%.
  • Deployed Kubernetes clusters using Helm.
  • Implemented Terraform for infrastructure as code.
  • Managed Kubernetes clusters using Kops.
Architecture

System Architecture & Development

  • Designed Kafka-based consumer service architecture.
  • Created Docker Compose development environment.
  • Integrated multiple backend services and databases.
  • Built low-latency streaming server using Golang.
Research

Research & Implementation

  • Evaluated WebRTC Mesh and SFU technologies.
  • Integrated Pydantic for robust data validation.
  • Refactored monolithic projects for better maintenance.
  • Implemented CI/CD pipeline testing integration.
v1.0.0 Back-End Engineer (Intern) 天堂遊戲有限公司 2019.01 – 2019.07
API

API Development & Optimization

  • Optimized RESTful APIs using Golang PProf.
  • Reduced API response times by 30%.
  • Refactored codebases for improved modularity.
Research

Research & Evaluation

  • Implemented Apache Spark for data processing.
  • Demonstrated GraphQL API capabilities.
  • Evaluated emerging technologies for adoption.

Education

Tokyo School of the Japanese Language (Naganuma School)

2026.04 – Present · Japanese language study in Tokyo

National Taipei University of Technology 台北科技大學

2016 – 2020 · Electronic Engineering