Xin He

Software Engineer

https://talent.gravityer.com/xin-he

working on Devops, Docker, Cloud(by cloudstack, k8s), good at distributed system technique and concern with AI, Deep Learning, NLP(master degree on ASR)

Beijing China

Key Strengths

Candidate has initiated personal projects, indicating self-motivation.
Exposure to Python asyncio, aiohttp, and gRPC suggests an interest in modern asynchronous programming and microservices.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects (json2json, k8s-yaml, sandbox) show an interest in tooling, infrastructure (Kubernetes YAML), and exploring modern programming paradigms (async Python, gRPC). This indicates a proactive learning attitude and potential alignment with a culture that values continuous improvement and technical exploration. However, the lack of team-based projects or detailed descriptions limits a deeper assessment of collaborative fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test scores are 0, providing no actionable insights.

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Assessing your cultural and operational fit

Projects

json2json

October 15, 2019 – October 15, 2019

json to json by using preset json template and key mapper.

View Project

k8s-yaml

July 12, 2019 – July 12, 2019

yaml for k8s

View Project

sandbox

December 7, 2017 – December 7, 2017

sandbox for python3 asyncio aiohttp grpc

View Project

Key Strengths

Candidate has initiated personal projects, indicating self-motivation.
Exposure to Python asyncio, aiohttp, and gRPC suggests an interest in modern asynchronous programming and microservices.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test scores are 0, providing no actionable insights.