Events Participated

📌 Event : AWS Cloud & GenAI Engineering Workshop

  • Time: 8:30 AM – 12:00 PM
  • Location: Floor 26
  • Role: Participant

🧩 Main Content

The event focused on modern cloud engineering practices, DevOps, and Generative AI applications on AWS. The sessions covered:

  • Platform Engineering & Career Pathways

    • Introduction to platform engineering in modern cloud ecosystems
    • Insights into company culture and internship opportunities
    • Interactive Q&A session with industry experts

  • GenAIOps Essentials

    • DevOps fundamentals on AWS
    • Real-world GenAIOps implementations using:
      • Amazon Bedrock
      • AgentCore Observability
      • Amazon EKS
      • Langfuse

  • Shipping Code in the Agentic Era

    • Challenges in modern software development
    • AI-assisted development tools and workflows
    • Productivity techniques and live demo

  • Production-Grade Multimodal GenAI

    • Modern AI application architecture
    • Multimodal search using embeddings
    • GraphRAG for enterprise knowledge systems
    • Multi-agent workflows and system observability

  • CloudFront: From Edge to Origin

    • Performance optimization using Amazon CloudFront
    • Cost optimization strategies
    • Security and reliability improvements

💡 Lessons Learned / Personal Contribution

  • Gained a deeper understanding of how serverless architecture and DevOps practices are applied in real-world systems

  • Learned how Generative AI systems are deployed, monitored, and optimized on AWS

  • Understood the importance of observability and scalability in modern applications

  • Applied knowledge from the event to improve:

    • API design and structure
    • System architecture decisions
    • Performance optimization strategies in the project

  • Actively participated in Q&A sessions to clarify concepts related to:

    • Platform engineering
    • Real-world DevOps workflows
    • AI system deployment

✅ Summary

This event provided valuable industry insights and practical knowledge that directly supported the development of the project, especially in backend architecture, cloud deployment, and system optimization.