class AdonisJimenez:
def __init__(self):
self.role = "IT Specialist & Software Engineer"
self.focus = [
"Cloud Computing (AWS, Azure, GCP)",
"DevOps & CI/CD Automation",
"AI/ML Pipeline Engineering",
"Backend & API Development",
"Data Engineering & Analytics"
]
self.philosophy = "Debug with discipline, automate with intention, scale with confidence"
def current_status(self):
return {
"learning": ["Kubernetes Operators", "Terraform Advanced Patterns", "MLOps"],
"working_on": ["Cloud Infrastructure Automation", "AI Model Pipelines", "Trading Algorithms"],
"available_for": ["Freelance Projects", "Open Source Collaboration", "Consulting"]
}Tech Stack: Node.js β’ React β’ MongoDB β’ GitHub Actions
Automated ticket routing with ML-powered categorization and SLA tracking
Tech Stack: Python β’ scikit-learn β’ Tableau β’ AWS Lambda
Predictive analytics platform with time-series modeling and scenario planning
π Log Triage Sandbox
Tech Stack: Python β’ Elasticsearch β’ Docker β’ Kubernetes
Automated log analysis tool with anomaly detection and alerting
- π DevOps Pipelines β Fully automated CI/CD workflows with zero-downtime deployments
- π€ AI/ML Systems β End-to-end model training, deployment, and monitoring infrastructure
- πΉ Trading Algorithms β Quantitative models for equities, crypto, and derivatives markets
- π Analytics Dashboards β Real-time data visualization with predictive insights
- βοΈ Cloud Infrastructure β Scalable, secure, and cost-optimized cloud architectures
"I debug with discipline, automate with intention, and scale systems that ensure operations work."
- β Code Quality First: Every commit is tested, reviewed, and documented
- π Automate Everything: If you do it twice, automate it
- π‘οΈ Security by Design: Build secure systems from the ground up
- π Data-Driven Decisions: Metrics guide every architectural choice
- π Continuous Learning: Technology evolves, so do I
πΉ Open Source Projects in cloud infrastructure, DevOps tools, or ML platforms
πΉ Freelance Opportunities for cloud architecture, automation, or data engineering
πΉ Consulting Engagements for CI/CD optimization, cloud migration, or system scaling
πΉ Technical Partnerships for innovative SaaS or fintech ventures
πΌ Available for hire β’ π Remote-friendly β’ β° EST timezone



