Thiện Nguyễn

Automation & AI RAG Systems – Solution Architect / Developer

Designed and implemented AI-driven automation workflows and Retrieval-Augmented Generation (RAG) systems integrating multiple APIs, databases, and LLM models for enterprise use cases.

• Built automated data ingestion pipelines using n8n to fetch data from external APIs and synchronize into PostgreSQL on scheduled daily jobs.
• Designed ETL workflows with data validation, retry logic, logging, and error handling mechanisms.
• Implemented RPA solutions using Windows Power Automate to automate repetitive desktop workflows and reduce manual processing time.
• Developed RAG demo system using n8n orchestration with:
  • Google Gemini API
  • Local LLM via Ollama
  • High-performance inference using vLLM
• Integrated document ingestion, embedding generation, vector storage, and semantic retrieval pipeline.
• Designed hybrid architecture combining cloud APIs and self-hosted LLM infrastructure.

Technology Enablement for Development Teams at Aegona– Internal Consultant / DevOps / Technical Advisor

Provided internal consulting and infrastructure support to development teams by evaluating and deploying key productivity tools. Advised on software development processes and helped define technical solutions that matched project requirements. Standardized workflows, improved project transparency, and increased delivery efficiency across teams.

• Evaluated and recommended appropriate technologies, frameworks, and architectural approaches to support project delivery (e.g., choosing between NestJS vs Express, monolith vs microservices, etc.).
• Advised on internal development workflows and helped define standard operating procedures (SOPs).
• Deployed and maintained internal tools: Gitea, Taiga, QARA, Outline, Jenkins.
• Built documentation and training materials to onboard developers and QA engineers.
• Automated deployment pipelines and reduced manual errors in build/release process.
• Integrated tools into internal infrastructure hosted on Linux servers and Docker.

E-commerce System Architecture & Leadership – Technical Lead

Led the end-to-end architecture and development of a comprehensive e-commerce ecosystem serving online customers, internal logistics teams, and external vendors. Oversaw multiple sub-systems with modular architecture.

• Directed a team of 5 developers across backend and frontend to deliver key services: Delivery System, Order Management, Invoice Generation, Feedback Collection, Booking Scheduling.
• Defined API contracts, database schemas, and service orchestration logic for microservices-based design.
• Implemented security, auditing, and error handling standards across the entire platform.
• Collaborated with stakeholders to define feature roadmap and technical KPIs.

Project Contributions - 2018–2022

Participated in several enterprise and B2B software development projects in roles ranging from backend developer to technical contributor. Each project involved working in agile teams, solving real-world system problems, and delivering functional, scalable components within tight timelines.

• Distribution Management System (DMS): Developed backend features and contributed to mobile app for sales representatives. Reviewed code and maintained system stability in .NET Core and React Native environment.
• Recruitment Platform: Designed PostgreSQL schema, implemented PDF resume generation, and contributed to backend logic in NodeJS and TypeScript. Introduced code review process to ensure team consistency.
• Online Searching System: Handled ETL for millions of records using custom Ruby on Rails tool and Pentaho. Designed auditing and normalization logic with PostgreSQL stored procedures.
• VDES – Event Booking Platform: Delivered booking and search features using NodeJS and ReactJS. Deployed system on Google Cloud and resolved production bugs to ensure system reliability.
• Mental Health Tracking Platform: Developed a web-based system to create customizable questionnaires for mental health assessments. Enabled practitioners to monitor patient well-being over time based on user responses. Focused on form builder design, response tracking logic, and data privacy.