I am a Computer Science student at Texas Tech University (Class of 2030) and a software engineer at Raymond Oyondi Consulting. I specialize in bridging the gap between complex data science and scalable cloud architecture. My work focuses on building high-performance systems where every millisecond of latency and every percentage of model accuracy matters.
- 🚀 Engineering Scalable Backends: I specialize in high-concurrency systems using Go and Node.js, architecting microservices containerized via Docker and orchestrated with Kubernetes. My recent deployments have reduced overhead by 40% through automated CI/CD pipelines.
- 📊 Predictive Analytics: I build end-to-end Machine Learning pipelines. Whether forecasting NBA stats with 91% accuracy or analyzing market sentiment via TensorFlow, I focus on turning raw data into actionable business intelligence.
- ☁️ Cloud Infrastructure: I leverage AWS (DynamoDB, Lambda) to ensure 99.9% application uptime, implementing robust OAuth2 security protocols to maintain 100% data privacy compliance.
"I don't just write code that works; I write code that scales."
- Reliability as a Standard: My background managing household operations and running a self-employed business has instilled a "zero-failure" mindset. I approach software engineering with the same accountability I bring to real-world responsibilities.
- Performance-Driven Design: I prioritize memoization, server-side rendering, and caching (Redis) to ensure the user experience is as fast as the backend is powerful.
- Continuous Evolution: As both a student and a professional, I thrive on the "learn-build-deploy" cycle. I am currently exploring the intersection of Time-Series Forecasting and Distributed Systems.
Languages: 
Developer Tools: 
Frameworks: 
Databases: 
Libraries: 
