ENGINEERING CAPABILITIES
Technical stack.
Tools and practices used across enterprise AI, cloud engineering and data platforms. Individual experience panels show where and how they were applied.
AI & agent systems
Solution design, orchestration, fine-tuning and evaluation.
LangGraphLangChainCrewAIAWS BedrockAWS AgentCoreMCPPydanticHugging FaceLoRA / QLoRALLM-as-a-Judge
Cloud & architecture
Secure deployments, model operations and infrastructure.
AWSAzureSageMakerDockerECREKSMLflowTerraformCloudFormationStep Functions
Data engineering & retrieval
Reliable pipelines and evidence-grounded information retrieval.
OpenSearchPostgreSQLHybrid search / MMRRerankingTable-aware chunkingDatabricksAzure Data FactoryAWS GluePySparkAirflow
Engineering, security & delivery
APIs, authentication, observability and cross-functional execution.
PythonFastAPIWebSocketOAuth2 / PKCEPingID SSOJenkinsLangSmithLangFuseAgile / ScrumClaude Code / Codex
This is a career-wide overview, not a claim that every technology was used at every employer.
MEET LARRY
Weixuan
(Larry) Jiang.
AI Technical Architect & Senior AI Engineer
I design and implement enterprise AI agents, secure integrations and cloud platforms. My work spans banking, healthcare and workplace safety, from architecture through production delivery.
- Experience
- 5 years across AI, cloud and data
- Based in
- Melbourne, Australia
- Work rights
- Australian Citizen
- Independent project
- Technical Founder, CoinBell AI
The studio and avatar are an original stylised presentation.
Experience
2021 — 2026Building across enterprise teams, products and platforms.
Aug 2025 – Sep 2026
Commonwealth Bank
Senior AI Engineer
Contractor via Rackspace TechnologyMulti-agent banking systems, policy-grounded RAG and production-grade AI operations.
More about this role
- SSO authentication sidecar using OAuth2, PKCE and PingID for MCP servers
- AWS AgentCore deployment, tool and model call limits, retries with backoff and a three-model fallback chain
- Release-readiness agents supporting two monthly releases across 10+ service domains and four federated business units
- Evaluation frameworks covering retrieval precision and recall, hallucination detection, traces and human feedback
Feb 2025 – Aug 2025
Amazon Web Services
Cloud Engineer — AI/ML
Melbourne · Full timeEnterprise AI/ML architecture, generative AI proofs of concept and production support.
More about this role
- Resolved complex SageMaker and Bedrock production incidents
- Invoice-processing PoC with Bedrock and Textract reduced manual effort by 80% and operational costs by 87%
- Built a restaurant recommendation prototype with dynamic menu ranking and personalisation
Sep 2024 – May 2026
JR Academy
Generative AI Instructor
Contract · Weekends & after-hoursHands-on training in LLM fine-tuning, RAG and agent-based systems for engineers and data scientists.
More about this role
- Advanced training in LoRA, QLoRA, quantisation and distributed fine-tuning
- Hugging Face PEFT, PyTorch FSDP and vLLM
- Mentored professionals from data ingestion through deployment
Apr 2024 – Oct 2024
Forwood Safety
AI Technical Architect
Australia · Remote · Full timeEnd-to-end GenAI architecture for workplace risk analysis and decision-making.
More about this role
- Expert-validated risk insights with 80–90% accuracy
- S3, embeddings and OpenSearch pipelines improved retrieval accuracy by 30% and cut processing time by 40%
- SageMaker, ECR, EKS and MLflow pipelines for reproducible delivery
- Led cross-functional teams and aligned technical solutions with senior stakeholders
Aug 2022 – Apr 2024
Accenture Australia
Senior Analyst, Data Engineer
Melbourne · Full timeHealthcare GenAI, medical coding models and reliable cloud data engineering.
More about this role
- MLOps pipeline for fine-tuning and deploying a Llama 2 7B medical coding model for ICD-10-AM
- RAG and hybrid search improved relevance, precision and recall by 30%
- Databricks and Azure Data Factory ingestion, plus AWS Glue and PySpark ETL with 99.5% data accuracy
- Step Functions workflows reduced manual intervention by 95%
Jul 2021 – Aug 2022
National Australia Bank
Analyst, Data Engineer
Jan – Aug 2022 · Previously Intern Cloud EngineerStreaming ingestion, automated ETL and cloud infrastructure supporting banking platforms.
More about these roles
- Data Engineer, Jan–Aug 2022: maintained 99% pipeline uptime with PySpark, S3, Redshift, Python and Databricks
- Automated ETL across billions of rows, saving 20 hours of manual work per month
- Khoros API pipelines saved 12 hours of manual work weekly
- Cloud Engineering Intern, Jul 2021–Jan 2022: Terraform, Jenkins build triggers, EC2 backups and database refresh workflows
Selected work
01 / 04From architecture to production.
COMMONWEALTH BANK · 2025–2026
Covenant intelligence
A policy-grounded multi-agent system that turns business loan assessment from weeks into hours.
- Four-node LangGraph DAG with parallel Covenant and Undertaking agents and a shared Industry Analyst
- Two-tier OpenSearch RAG with table-aware chunking, reranking and policy-cited, structured outputs
- Human feedback and LLM-as-a-Judge across 20+ industry verticals
LangGraphOpenSearchPydantic
Visit CoinBell AIPolicy knowledge
Covenant agentUndertaking agent
Cited recommendations
Shared industry context · Structured outputsWeeks to hoursBusiness loan assessment cycles
Expertise
01AI architecture
Multi-agent orchestration
RAG & hybrid search
LLM evaluation & fine-tuning
Stakeholder & solution design
LangGraph · Bedrock · AgentCore
LangChain · CrewAI · MCP 02Production systems
Secure service integrations
Reliability & model fallback
MLOps & observability
Containerised deployment
SageMaker · EKS · MLflow
OAuth2 · FastAPI · Terraform 03Data platforms
Cloud data architecture
ETL & ingestion pipelines
Semantic & table-aware retrieval
Streaming & workflow automation
OpenSearch · PostgreSQL · PySpark
Databricks · Airflow · AWS Glue EDUCATION
Bachelor of Data Analytics
University of South Australia
Jul 2019 – Oct 2023SELECTED CERTIFICATIONS
AWS · Machine Learning, Data Engineering & AI
Google Cloud · Architecture, ML, Data & Development
Microsoft Azure · Data Engineering
Databricks · Apache Spark
View all certifications
- AWS Certified Machine Learning Specialty, 2025
- AWS Certified Machine Learning Associate, 2025
- AWS Certified Data Engineering Associate, 2025
- AWS Certified AI Practitioner, 2025
- Google Cloud Certified Cloud Architect, 2023
- Google Cloud Certified Professional Cloud Developer, 2023
- Google Cloud Certified Professional Database Engineer, 2023
- Kubernetes and Cloud Native Associate, 2023
- Google Cloud Certified Professional Machine Learning Engineer, 2022
- Google Cloud Certified Professional Data Engineer, 2022
- Microsoft Certified: Azure Data Engineer Associate, 2022
- Databricks Certified Associate Developer for Apache Spark 3.0, 2022