- Lead developer for "AI Enhance Management System", an automated hardware material management and intelligence system.
- Spearheaded full-stack development for Generative AI Agent web applications utilizing React.js, FastAPI, and LangGraph multi-agent orchestration.
- Architected and managed containerized GPU clusters for AI workloads, optimizing compute density and vGPU allocation with NVIDIA GPU Operator and HAMi.
- Engineered custom QR code applications and high-throughput asynchronous message queues via RabbitMQ.
Alex Hsiao (Wei-Chun Hsiao)
Currently serving as a GenAI Engineer with hands-on expertise spanning full-stack application development, bare-metal GPU virtualization (NVIDIA GPU Operator & HAMi), stateful Multi-Agent LLMs with LangGraph, distributed microservices, and ISO/IEC 27001 security compliance.
End-to-End Technology Stack & Infrastructure Tools
GenAI & Machine Learning
Architecting containerized GPU clusters on bare-metal Kubernetes with NVIDIA GPU Operator and HAMi vGPU dynamic slicing to maximize compute density and hardware utilization. Designing stateful, autonomous multi-agent orchestration pipelines with LangGraph and low-latency LLM streaming inference endpoints via vLLM.
FullStack & Distributed Systems
Engineering high-throughput, non-blocking asynchronous microservices and reactive interfaces using FastAPI, modern Node.js, and React. Implementing enterprise AMQP message broker topologies with RabbitMQ to decouple critical distributed workloads and ensure reliable, fault-tolerant asynchronous task execution.
Cloud Fabric & Orchestration
Certified across Kubernetes (CKA), AWS Solutions Architect Professional (SAP), and GCP Professional Cloud Architect (PCA). Designing declarative Infrastructure as Code (IaC) with Terraform, orchestrating production container fabrics, executing complex cross-cloud migrations, and establishing zero-trust security baselines.
Databases & Resilient Storage
Structuring highly resilient, low-latency relational and document database layers across PostgreSQL, Microsoft SQL Server, and MongoDB. Deploying cloud-native distributed persistent block storage with Longhorn replication in Kubernetes alongside MinIO S3 object storage for analytical Parquet storage.
Five Professional Certifications & IEEE Peer-Reviewed Publication
100% authentic credentials with direct public verification badges.
NVIDIA Certified Professional: Generative AI LLMs
Validates enterprise mastery in building, deploying, and accelerating large language model architectures. Encompasses parameter-efficient fine-tuning (PEFT/LoRA), vLLM & Triton inference serving, retrieval-augmented generation (RAG), and production LLM evaluation.
Certified Kubernetes Administrator (CKA)
Demonstrates production competence in Kubernetes cluster architecture, core component troubleshooting, networking (CNI/Ingress), storage volumes (CSI), cluster security, RBAC policies, and container workload maintenance.
AWS Certified Solutions Architect – Professional (SAP)
Pinnacle AWS professional credential validating advanced expertise in complex multi-tier enterprise architecture, multi-account governance (AWS Control Tower), high availability, disaster recovery, cost optimization, and hybrid cloud migrations.
Google Cloud Professional Cloud Architect (PCA)
Certifies comprehensive architecture competence on Google Cloud Platform, encompassing scalable microservice topologies on GKE, VPC network security, IAM least-privilege governance, data migration pipelines, and enterprise reliability engineering.
ISO/IEC 27001 Lead Auditor (Information Security)
Professional Lead Auditor certification validating deep knowledge in Information Security Management Systems (ISMS), risk assessment methodologies, Annex A security control implementation, compliance audits, and security baseline governance.
IEEE Xplore: Deep Learning SQLi & XSS Detection
Peer-reviewed research publication in IEEE Xplore introducing a novel hybrid deep learning architecture combining Multi-Model CNN, Bidirectional GRU, and Multi-Head Self-Attention mechanisms for robust real-time detection of SQLi and XSS attacks.
Professional Experience & Research Trajectory
- Drove cloud security initiatives and contributed directly to the development of the AWS Government Configuration Baseline for national infrastructure.
- Researched and implemented cutting-edge AI features and autonomous workflows using LangGraph and Multi-Agent LLMs.
- Constructed secure serverless and containerized APIs with Next.js, FastAPI, and MongoDB backend storage.
- Architected and implemented enterprise GCP and AWS cloud environments, executed complex cross-cloud migrations, and configured secure site-to-site VPNs.
- Designed centralized monitoring platforms and deployed production Kubernetes clusters with fine-grained RBAC security policies.
- Managed network topology planning and security perimeters: WAF, Firewalls, Load Balancers, and VPC peering.
- Authored automated Infrastructure as Code (IaC) with Terraform and resolved mission-critical infrastructure incidents.
- Conducted advanced research in deep learning and cybersecurity intrusion detection for web application security.
- Designed a novel hybrid architecture combining Multi-Model CNN, Bidirectional GRU, and Multi-Head Self-Attention for SQLi and XSS attack detection.
- Published peer-reviewed master's thesis research in IEEE Xplore (Doc: 10210155).
- Developed machine learning pipelines and research demonstration web platforms with Python, Django, Flask, PyTorch, and TensorFlow.
- Collaborated on the development and UI implementation of a PHP Laravel-based logistics management system for a shipping container enterprise.
- Designed database schemas and responsive web views before transitioning to graduate studies in computer science.
Direct Communication Channel & Availability
Stationed in Taipei, Taiwan (UTC+8). Available for on-site & hybrid engineering roles in Taipei, and worldwide remote collaboration across distributed teams.





