mkcv / scripts /sample-cv.yaml
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personal:
name: Jane Smith
email: jane.smith@example.com
phone: "+1 (415) 555-0192"
location: San Francisco, CA
linkedin: linkedin.com/in/janesmith
github: github.com/janesmith
website: janesmith.dev
summary: >
Senior software engineer with 7 years building scalable web services and
data pipelines. Strong background in Python, TypeScript, and cloud
infrastructure. Passionate about developer experience and clean architecture.
experience:
- title: Senior Software Engineer
company: Acme Technologies
start_date: Jan 2021
end_date: Present
location: San Francisco, CA
highlights:
- Led migration of monolithic backend to microservices, cutting deploy time by 60%
- Designed real-time data pipeline processing 2M events per day
- Mentored three junior engineers and established team code-review standards
tech_stack: [Python, Kubernetes, PostgreSQL]
- title: Software Engineer
company: Bright Solutions
start_date: Jun 2018
end_date: Dec 2020
location: Austin, TX
highlights:
- Built customer-facing REST API serving 50k daily active users
- Reduced page load time by 40% through frontend performance work
- Contributed to open-source CLI tool with 1,000+ GitHub stars
tech_stack: [TypeScript, React, Redis]
education:
- degree: B.S. Computer Science
institution: University of California, Berkeley
start_date: "2014"
end_date: "2018"
gpa: "3.8"
skills:
- category: Languages
items: [Python, TypeScript, Go, SQL]
- category: Frameworks
items: [FastAPI, React, PostgreSQL, Redis]
- category: Infrastructure
items: [Docker, Kubernetes, GitHub Actions, AWS]
projects:
- name: OpenMetrics
description: Open-source metrics aggregation library for Python microservices
url: github.com/janesmith/openmetrics
highlights:
- "2,400+ GitHub stars, used in production at 12 companies"
- Supports Prometheus, Datadog, and OpenTelemetry exporters
certifications:
- name: AWS Solutions Architect Professional
issuer: Amazon Web Services
date: "2022"
languages:
- language: English
proficiency: Native
- language: Korean
proficiency: Conversational