In this section, you should list and describe in detail the events you have participated in during your internship or work experience.
Each event should be presented in the format Event 1, Event 2, Event 3…, along with the following details:
- Event name
- Date and time
- Location (if applicable)
- Your role in the event (attendee, event support, speaker, etc.)
- A brief description of the event’s content and main activities
- Outcomes or value gained (lessons learned, new skills, contribution to the team/project)
- This listing helps demonstrate your actual participation as well as the soft skills and experience you have gained from each event.
During my internship, I participated in two events. Each one was a memorable experience that provided new, interesting, and useful knowledge, along with gifts and wonderful moments.
Event Name: AWS Vietnam Community Day 2026
Date & Time: 09:00, May 23, 2026
Location: 26th Floor, Bitexco Tower, 02 Hai Trieu Street, Saigon Ward, Ho Chi Minh City
Role: Attendee
Brief Description: The largest annual community tech event of AWS in Vietnam, focusing on Generative AI, Multi-Agent systems for credit scoring, CloudFront caching optimization, and LLM non-determinism in practice from industry-leading experts.
Key Takeaways: - Business: Multi-Agent AI saves up to 95% in time and cost for complex workflows (e.g., credit approval). - Technical: The critical role of Context and addressing LLM non-determinism even at low settings. - Infrastructure: Leveraging CloudFront as a security and cost-control platform with new flat-rate pricing.
Event Name: First Cloud AI Journey Meetup
Date & Time: June 13, 2026
Location: Online / Live at partner offices (AWS, Endava, Kamereo, Colgate-Palmolive)
Role: Attendee
Brief Description: An event connecting students with multinational corporations, guiding career mindsets in Data Analytics, DevOps, and AI Engineering. It also introduced the “5-step” development path of an expert and the professional recruitment process based on the STAR model.
Key Takeaways:
- Fundamentals: Linux, Networking, and Coding skills are core, invariant fundamental knowledge.
- AI: Utilize AI to support and enhance work performance but avoid relying on it completely (“brain switch off”).
- Communication: Communication is a core component of technical work, aiming for smooth coordination instead of being a lone “hero”.