
Andrés Menchaca
4nddrs@dev:~/backend$
Cbba, Bolivia
Systems Engineer specializing in Python Backend & high-performance architectures. I build scalable APIs with a Linux-first mindset, orchestrating workflows via Debian CLI to solve complex business challenges through clean, efficient code.
from typing import List, Literal, Optional
class Developer:
def __init__(self, name: str, skills: List[str], interests: List[str]):
self.name = name
self.skills = skills
self.interests = interests
class TechStack:
def __init__(self):
self.languages = [
'Python', 'TypeScript', 'Go', 'Bash'
]
self.frameworks_libraries = [
'FastAPI', 'Flask', 'Astro', 'React', 'TailwindCSS', 'PyTorch'
]
self.databases = [
'PostgreSQL', 'SQLite', 'MongoDB', 'Firebase'
]
self.dev_tools = [
'Docker', 'Kubernetes', 'Git', 'Node.js', 'Postman', 'Vite'
]
self.design_productivity = [
'Figma', 'Obsidian'
]
self.ides = [
'VS Code', 'Neovim'
]
self.operating_systems = [
'Arch Linux', 'Debian', 'Kali Linux'
]
# Initialize Tech Stack
stack = TechStack()
# Developer Profile
me = Developer(
name='Andrés Menchaca',
skills=[
*stack.dev_tools,
*stack.backend,
*stack.frontend,
*stack.security_research
],
interests=[
'Cybersecurity',
'Linux & Terminal Automation',
'Smart Contract Security',
'Clean Architecture',
'Web3 Infrastructure'
]
)
def get_contact(platform: Literal['github', 'linkedIn', 'email', 'website']) -> str:
"""
Returns the professional contact link based on the platform.
"""
match platform:
case 'github':
return 'https://github.com/4nddrs'
case 'linkedIn':
return 'https://www.linkedin.com/in/4nddrs'
case 'email':
return 'joseandres190503@gmail.com'
case 'website':
return 'https://4nddrs.netlify.app'
case _:
return 'System 404: Platform not found.'
if __name__ == "__main__":
print(f"Ready to build with {me.name}?")
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README.md
Systems Engineer @ 4nddrs-dev
"Simple by design. Scalable by default."
##Overview
This environment serves as my professional control center. Focused on Backend Architecture and System Efficiency, it reflects my "Linux-first" philosophy. I build high-performance APIs and automation tools with Python.
##Engineering Principles
- ✔Scalable Backend: High-performance RESTful APIs with FastAPI.
- ✔CLI-First Workflow: Developed entirely via Debian CLI.
- ✔Docs-as-Code: Technical writing as a core development pillar.
- ✔Automation: Python scripting for optimized system workflows.
- ✔Reliability: Implementing automated testing and CI/CD pipelines.
##Core Expertise
// Run session_init.sh to explore
andres@dev:~$ ./init_session.sh
[INFO] Loading backend_experience...
[OK] Connection established.
[SYSTEM] Status: Ready for new challenges.