Van Dang

Software Problem Solver — Productivity Nerd

About Me

I build the systems that other systems depend on — data platforms, integration frameworks, cloud infrastructure. Generalist by design, comfortable across the SDLC and owning architecture through production. Now extending into agentic engineering: Claude Code, MCP, and agent SDKs as first-class tools in how I build.

Data Platforms

Integration platforms, query engines, and event-driven correction systems — the layer between raw events and useful product. I design schema, storage, and processing end-to-end, and ship through to production.

Platform & Cloud Engineering

Cloud networking, Kubernetes, and deployment patterns — the substrate other teams build on. I think in failure modes first, and treat the platform's promised availability as something to verify rather than assume.

Agentic Engineering

Currently building ChorusKube (Kubernetes-native orchestration for AI agents) and ArchCanvas (visual architecture → working code). Less interested in chat UIs, more interested in agents that operate real systems.

Leadership & Delivery

Led a peak team of 5 through tight onboarding SLAs as the customer base grew. I optimize for coordination cost, not heroics — the team should be able to ship without me in the critical path.

Experience

Software Engineer

Early 2025 - Present

HCLTech/ANZx — Developer Platform / Cloud Networking · In-house developer platform for ANZ Bank's digital banking unit on GCP.

Own the Networking Controller on GCP — provisioning cloud network policy and enforcing security compliance for 50+ engineering teams.
Run controlled disaster-simulation exercises that verify our services correctly exercise GCP's multi-region HA — catching integration gaps so the platform's 99.999% SLA translates into real availability for us, not just on paper.
Designed and rolled out the CloudRun Git-volume-mount pattern — migrating ~80 services onto a simpler, image-build-free deployment workflow.

Tech stack: GCP, Kubernetes, CloudRun, KubeBuilder, Go

Software Engineer

Late 2024 - Early 2025

Endash/Cigro — Data Platform · SaaS analytics product — dashboards and monitoring for online sellers.

Shipped monitoring as a first-class product feature — subscriptions, alerting, task orchestration — answering the top user request and shifting customers from passively viewing dashboards to actively engaging with their data.
Refactored internal hotspots and tightened the development workflow — cut user-reported bugs ~80%.
Executed a cross-vendor platform migration — cut infrastructure cost ~14% with improved uptime.

Tech stack: Python, FastAPI, PostgreSQL, Prefect, BigQuery, Kafka

Technical Leader / Data Platform Engineer

Late 2021 - Late 2024

PrimeData — Customer Data Platform · Customer Data Platform startup serving enterprise clients.

Building the platform

Architected the Data Integration Platform behind client onboarding at scale — a 4-engineer team onboarded customers each with hundreds of pipelines and millions of events/day, built on a ~300-connector catalogue (~20 actively used, mostly databases and vendor APIs).
Designed and shipped a custom query engine (Query Builder + storage models) delivering sub-second P90 responses against hundreds-of-millions to billions of records — the backend core of the platform's analytics.
Extended the platform with Kubernetes-based Transformation Plugins and security hardening — enabling white-label deployments and customer-configured integrations without ops in the critical path.

Hardening

Designed and shipped an event-driven data-correction system — cut customer data error rates from 30% to 4%.
Introduced schema testing in GitHub Actions — raised test coverage from ~30% to ~75%.

Leading delivery

Led the engineering delivery (peak team of 5) through heavy coordination load — sustaining in-day support and 1-2 month client onboarding SLAs as the customer base grew.

Tech stack: Java, Python, Kubernetes, Kafka, ClickHouse, PostgreSQL, Airbyte, Argo

Get in Touch

Interested in working together? Feel free to reach out.