
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amazon Web Services
Backend Engineer
June 26, 2026 – Present
ec2-redis-sentinel-pushing
May 11, 2026 – Present
ec2-redis-sentinel-pushing — GitHub repository
View Projectaws-devops-agent-lab
April 13, 2026 – Present
The lab to test the functionality of aws devops agent
View Projectaws-cudos-intelligence-agent
August 14, 2025 – August 15, 2025
🔍 Intelligent AWS cost analysis agent leveraging CUDOS data with automated reporting and interactive queries. Built with Strands Agent SDK, supports tag compliance monitoring, CloudTrail resource tracking, and bilingual reports (EN/ZH). Hybrid Lambda + Bedrock Agent deployment.
View Projectaurora-audit-log-backup-lab
June 19, 2025 – Present
The lab to backup the aurora audit log to s3 using serverless solution
View Projectcloudfront-ssl-dynamic-prewarm
December 2, 2024 – December 5, 2024
Optimize the latency of HTTPs dynamic requests for infrequent access of cloudfront
View Projectlark-aws-knowledge-assistant
October 20, 2024 – October 7, 2025
The Lark AWS Knowledge Assistant is an advanced integration tool that enables users to interact with AWS Support Center and Amazon Q (the official AI-powered assistant for AWS knowledge) through a familiar Lark (Feishu) interface, providing seamless access to AWS knowledge via chat with Amazon Q and direct support from AWS experts.
View Projectlarkbot
November 11, 2022 – July 18, 2024
Integrating Feishu (AKA lark) with AWS support API
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AWS-centric development and automation, which aligns well with a cloud-native culture. The diversity of projects, from bot integrations to performance optimization and cost analysis, suggests a broad technical curiosity and a willingness to tackle various challenges. The current role at Amazon Web Services further reinforces a potential cultural fit within an AWS-focused environment. However, the lack of team-based projects or open-source contributions makes it difficult to assess collaboration style or broader cultural adaptability.
Soft Skills & Operational Fit
The candidate's personal projects indicate a proactive and self-driven individual with a strong interest in solving real-world problems related to AWS services. The descriptions suggest an ability to work independently and explore complex technical challenges. However, without direct assessment data, specific soft skills like teamwork, communication, or stress handling cannot be objectively evaluated.