AI Deploy Network
TT

AI Deploy Network / Builder

Tuyen Tran

AI Engineer

VietnamSenior

Published evidence

1 AI Deployment

1 publicly identified

1 Case Study

Published implementation narrative

01

About Tuyen

I'm interested in building practical AI solutions, particularly RAG applications, LLM engineering, and context engineering. With 6+ years of experience in Data Engineering across Banking and FinTech, I bring a strong foundation in production data pipelines, cloud platforms, data quality, and workflow orchestration. I'm currently applying this experience to Generative AI projects using LangChain, FAISS, local LLMs, and Streamlit.

Professional profile

Location
Vietnam

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

03

What Tuyen builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

AI Infrastructure

Builder-listed deployment types

  • RAG System

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Conversational RAG chatbot for HR policy question answering using LangChain, FAISS, Ollama, and Streamlit.

Built a conversational RAG chatbot that enables employees to query HR policies using natural language. The application retrieves relevant policy content through semantic search and generates grounded, context-aware responses while supporting conversational follow-up questions.

FinTech · RAG System

View Deployment

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

  • RAG System2 records

Builder declared

  • AI Infrastructure

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

  • FAISS1 record
  • Ollama1 record

Builder declared

  • Apache Airflow
  • BigQuery
  • GitHub Actions
  • Google Cloud
  • Looker
  • PostgreSQL
  • Power BI
  • Python
  • Terraform
  • dbt

07

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

FinTech

1 published Deployment

Banking

Builder declared

08

Case Studies

Published narratives of implementation and results.

FinTech · Chatbot · RAG System

HR Policy Chatbot

Conversational RAG chatbot for HR policy question answering using LangChain, FAISS, Ollama, and Streamlit.

Read case study

09

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Verified Builder

AI Case Studies verified

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works
Verified

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

  • AI Case Studies Verified
How this is verifiedWhat the platform has established, and what remains builder-declared.
Identity and organisation
Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments
An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes
Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence
Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency
Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability
Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

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