Building scalable systems and making developers' lives easier
I'm a Senior DevOps Engineer with a passion for building robust, scalable systems at the intersection of AI and Fintech. I believe in doing things the right wayβwriting clean code, automating everything that can be automated, and building infrastructure that just works.
My experience spans the full stack, from designing cloud-native architectures to crafting intuitive user interfaces. I'm currently focused on leveraging AI/ML to solve real-world problems in financial technology and beyond.
const carrington = {
role: "Senior DevOps Engineer",
current: ["AI & Data Science", "Fintech Solutions", "Infrastructure Automation"],
openTo: ["Fintech/Forex Trading Apps", "AI Research", "Open Source Collaboration"],
passion: "Building things the right wayβscalable, maintainable, and elegant"
};
|
|
|
π€ AI/ML & Data
- Frameworks: TensorFlow, PyTorch, scikit-learn
- MLOps: MLflow, Kubeflow, DVC
- Data: Pandas, NumPy, Apache Spark
- LLMs: OpenAI API, LangChain, LlamaIndex
- Vector DBs: Pinecone, Weaviate, Chroma
π Fintech Specific
- Trading: Technical analysis, algorithmic trading
- Data: Real-time market data processing
- APIs: Alpaca, Interactive Brokers, Binance
- Analysis: Time-series forecasting, risk modeling
- Compliance: Audit trails, regulatory reporting
- π€ AI-Powered Fintech Applications β Intelligent trading systems and financial analysis tools
- π Market Intelligence Platforms β Real-time data processing and predictive analytics
- ποΈ Scalable Microservices β Cloud-native architectures built for growth
- π§ Developer Tooling β Infrastructure automation and DevOps best practices
- π Full-Stack Solutions β End-to-end applications from database to UI
expertise = {
"devops": ["CI/CD pipelines", "Infrastructure as Code", "Container orchestration"],
"fintech": ["Algorithmic trading", "Market data processing", "Risk management"],
"ai_ml": ["Model deployment", "MLOps", "LLM integration"],
"architecture": ["Microservices", "Event-driven systems", "Distributed computing"]
}Check out my pinned repositories below for examples of my work!
- AI Trading Systems β Automated trading strategies with ML-powered signals
- Infrastructure Automation β Terraform modules and Kubernetes operators
- Full-Stack Apps β Modern web applications with React/Next.js and Python backends
- Open Source Contributions β Contributing to DevOps and AI/ML tools
"The best code is code that doesn't need to be written. The second best is code that's so clear it doesn't need comments."
I believe in:
- π§ͺ Testing First β If it's not tested, it's broken
- π¦ Automation Everything β Manual is for emergencies only
- π Documentation Matters β Future you will thank present you
- π Security by Design β Not as an afterthought
- π Measure Everything β You can't improve what you don't measure
- π€ Collaboration β The best solutions come from diverse perspectives
I'm always interested in discussing:
- π€ AI/ML Engineering β Practical applications and MLOps
- π° Fintech Innovation β Trading systems, payment processing, DeFi
- βοΈ Cloud Architecture β Scalable, cost-effective infrastructure
- π§ DevOps Practices β CI/CD, observability, platform engineering
- π Open Source β Contributing to meaningful projects
- Email: ideas@khano.ai
- LinkedIn: Carrington Muleya
- Twitter: @carrington_dev
- Fintech/Forex Trading Applications β Building intelligent trading systems
- AI Research & Development β Practical AI/ML implementations
- Open Source Projects β Tools that make developers' lives easier
- Infrastructure Consulting β Cloud architecture and DevOps optimization
def carrington():
coffee = True
while coffee:
code()
deploy()
monitor()
optimize()
coffee = refill() # Always true- β Coffee-driven development is my methodology
- π― I automate tasks after doing them manually twice
- π Always learningβtech moves fast, so do I
- ποΈ I judge architectures by how easy they are to delete
- π Debugging is my cardio
βοΈ From carrington-dev
Building the future, one commit at a time π
Always learning, always building, always shipping




