Mike Ng
Data ScientistHong Kong, Hong KongMember since June 26, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agent-skills
January 30, 2026 – Present
Composable, model-agnostic AI agent skills for multi-agent analysis, verification, research, and multi-model council review. Works with Claude Code, Gemini, Codex, and OpenCode.
View Projectaws-kms-signer-nodejs
March 13, 2025 – March 18, 2025
A secure and efficient AWS KMS-based signer implementation for Ethereum and Tron networks. Uses AWS Key Management Service (KMS) for secure key management instead of plaintext private keys, supporting both EVM and Tron transaction signing.
View Projectaws-keyspace-nodejs-lambda
October 10, 2020 – October 10, 2020
aws-keyspace-nodejs-lambda — Dev.to repository
View Projectaws-serverless-wordpress
September 21, 2020 – November 9, 2020
aws-serverless-wordpress — Dev.to repository
View Projectaws-parsec-gaming-rig
February 12, 2020 – February 25, 2020
aws-parsec-gaming-rig — Dev.to repository
View Projectaws_deepracer_log_analysis
May 29, 2019 – November 22, 2022
aws_deepracer_log_analysis — Dev.to repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong self-starter attitude and a passion for exploring various technologies, particularly within the AWS ecosystem. The diversity of projects, from serverless WordPress to blockchain signers and AI agents, suggests a broad technical curiosity. However, the direct alignment with a 'Data Scientist' role is moderate, with only a few projects directly touching upon data analysis or machine learning. The lack of team-based projects or professional experience makes it difficult to assess cultural fit beyond individual initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.