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Founder-led Audit
Business goals and bottlenecks stay in one conversation.
We design, ship, and harden agent workflows, reporting systems, data pipelines, and automation for teams that need senior execution without a bloated agency layer.
Watch the workflowWorkflow preview
See how research, build, automate, harden, and handoff can stay inside one senior delivery loop instead of scattering across tools and vendors.
Tran Tien Van leads the work from the first workflow audit through architecture, implementation, and hardening, so business context and technical decisions stay aligned all the way into production.
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Business goals and bottlenecks stay in one conversation.
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Architecture decisions stay with the person shipping the work.
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The same lead stays close to implementation and rollout.
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Monitoring, docs, and post-launch support stay connected.

Founder-led AI agent and data engineering delivery from Ho Chi Minh City, Vietnam.
This section is built to answer the buyer question behind every founder-led service business: who is actually behind the work, and can that person be verified before the first call?
Here, the same person handles workflow audit, architecture direction, implementation, and hardening, so decision quality and execution speed stay in the same loop.
5.0
Upwork rating
71 public reviews
Founder-led
Decision chain
Scope, architecture, and delivery stay aligned.
Vietnam
Operating base
Ho Chi Minh City, Vietnam
AI + data
Execution lens
Agent workflows, reporting systems, and pipelines.
Service lanes
Choose the lane that matches the workflow, reporting, automation, or data problem your team needs to scope, ship, and harden.
Talk through your workflow01
Design AI agents that reason, call tools, and complete production workflows with clear guardrails and human review.
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Build resilient batch and streaming pipelines that move data cleanly from source systems into warehouses, reports, and AI-ready products.
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Build governed LangGraph reporting agents that query your semantic layer, validate SQL, explain KPI movement, and deliver Slack-native narratives.
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Collect structured data from dynamic and protected sources with browser automation, proxy strategy, and production-grade delivery.
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Reduce cloud waste while protecting delivery speed through workload analysis, right-sizing, scheduling, and targeted re-architecture.
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Modernize brittle data and integration stacks into platforms that support reporting, automation, and AI delivery with less operational drag.
Upwork proof
5.0 from 71 reviews
Chod S.
5.00 / 5
Data Extraction & Automation Engineer for Large Document Repository
Chris K.
5.00 / 5
FT Platform Phase #2
"Great backend developer, highly recommend!"
Gilad B.
5.00 / 5
Phase 0: Design a granular data schema and structure, and full tool flow
"Very knowledgeable and professional. Good communication"
Choose the engagement shape that fits your team, then start with a free call.
Scope and de-risk
Validate the workflow before a bigger build.
Typical outputs
Ship the system
Best for business-ready AI, automation, or data delivery.
Typical delivery
Senior support
Ongoing support inside complex AI or data roadmaps.
Typical support
Straight answers on what Van Data Team builds, who it fits, and how projects start.
Van Data Team builds AI agents, reporting workflows, data pipelines, automation systems, and modernization work for teams that need production-ready delivery.
The strongest fit is a team with a real workflow bottleneck, a delivery owner on the client side, and a need for senior implementation rather than slideware.
Yes. Many engagements start from an existing stack that needs stabilization, better observability, or a new AI and data layer added on top.
Projects usually start with a scoped conversation, a workflow review, or a short strategy sprint that clarifies the bottleneck, risks, and recommended next step.
A Vietnam-based delivery model can keep overhead lean while still giving global teams senior ownership, strong communication, and timezone overlap that supports steady delivery.
Free strategy session
Bring the current process, blockers, and decision pressure. The output is a practical next-step plan, not a vague sales call.