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You never know what you can do till you try. @apache Pulsar & HertzBeat Committer @open-telemetry Member
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
apache
Data Scientist
June 24, 2026 – Present
SkillDeck
February 11, 2026 – Present
Native macOS SwiftUI app for managing multiple AI code agent skills
View Projectgscript
May 23, 2022 – November 8, 2022
💪🏻This is a statically and strongly typed language written in Go.|GScript 是用 Go 编写的静态、强类型的脚本语言。
View Projectptg
October 11, 2021 – July 11, 2022
💥Performance testing tool (Go), It is also a GUI gRPC client.
View Projectdistributed-redis-tool
March 27, 2018 – December 16, 2022
🔒A simple distributed tools based on Redis.
View ProjectJCSprout
December 17, 2017 – May 21, 2024
👨🎓 Java Core Sprout : basic, concurrent, algorithm
View Projectalgorithm
October 25, 2017 – August 8, 2025
Team up to solve problems on LeetCode together
View Projectspringboot-cloud
June 26, 2017 – November 9, 2018
:two_men_holding_hands: springboot + springcloud build micro service
View ProjectSSM
June 21, 2016 – July 2, 2018
:two_hearts: build SSM from 0 👉🏽👉🏽 distributed micro service.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration across various technical domains, including system design, language parsing, and performance tooling. This indicates a proactive and curious individual. However, the projects are predominantly personal and lack explicit team collaboration details, which makes it challenging to fully assess cultural fit in a team-oriented environment. The target role is 'Data Scientist', but the projects are heavily skewed towards backend engineering, distributed systems, and language development, with only one project ('algorithm') mentioning Python and Jupyter Notebook, which are relevant to data science. This suggests a potential mismatch in primary focus, though the underlying technical skills are strong.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are very brief, making it difficult to infer collaboration style, problem-solving approach, or communication effectiveness.