Denis Kinyua Kamachu

DevOps & Machine Learning Specialist

Driven developer with 3+ years of experience designing intelligent systems, automating infrastructure, and securing digital environments using Python, Machine Learning, and DevOps practices. I specialize in building AI-powered solutions that are scalable, reliable, and efficient—bridging automation with practical software engineering to solve real-world problems.

Cisco Certified
Security Expert
ML Specialist
Python Expert
95%+ Model Accuracy
40% Vulnerability Reduction
3+ Years Experience
View My Work Hire Me Download CV
🧠

Machine Learning

🔐

Cybersecurity

🐍

Python Development

⚙️

DevOps

About Me

Who I Am

"I hold a Bachelor's degree in Information Technology with a strong focus on systems development, algorithms, and machine learning. Throughout my academic and hands-on experience, I’ve built a solid foundation in software engineering and automation. Today, I specialize in leveraging DevOps practices to streamline deployment pipelines and in applying machine learning to solve real-world data challenges — blending reliability with intelligent automation."

I thrive in environments that challenge my technical abilities and allow me to contribute to innovative projects. My goal is to leverage cutting-edge technologies to create efficient, secure, and scalable solutions.

Resume

Ready to explore new opportunities? Download my resume to learn more about my experience and expertise.

Download Resume

Deep Technical Expertise

Production-tested skills with quantified impact and real-world implementation experience

Machine Learning Engineering

3+ years hands-on

⚙️ Technical Depth

  • Advanced Feature Engineering: Created custom behavioral indices, handled 12% missing data with multiple imputation strategies
  • Model Optimization: Hyperparameter tuning with GridSearchCV, feature selection using mutual information
  • Production MLOps: End-to-end pipelines with automated retraining, model versioning, and drift detection
  • Statistical Analysis: Correlation analysis (r=-0.72), significance testing, confidence intervals

Cybersecurity Automation

Real threat detection

🔧 Technical Depth

  • Advanced Web Scraping: Multi-source data extraction (WHOIS, SSL certs, page content) with rate limiting and proxy rotation
  • NLP Security Analysis: Domain entropy calculation, keyword vectorization, suspicious pattern detection using TF-IDF
  • API Integration: Real-time threat intelligence from VirusTotal, PhishTank, with fallback mechanisms
  • Security Automation: Real-time alerting system, automated threat scoring, false positive reduction

Full-Stack Python Engineering

Production systems

🏗️ Technical Depth

  • Advanced Flask Architecture: Blueprint-based modular design, custom middleware, rate limiting, JWT authentication
  • Database Optimization: Query optimization, connection pooling, database indexing strategies for improved performance
  • API Development: RESTful services with proper error handling, input validation, and comprehensive documentation
  • Microservices Design: Service decomposition, inter-service communication, fault tolerance patterns

DevOps & Infrastructure

CI/CD expert

🔨 Technical Depth

  • Advanced Docker Implementation: Multi-stage builds, optimized image layers (87MB final size), security scanning integration
  • CI/CD Orchestration: GitHub Actions workflows with automated testing, building, and deployment stages
  • Infrastructure as Code: Automated environment provisioning, configuration management, rollback strategies
  • Production Monitoring: Health checks, performance monitoring, automated alerting systems

Live Technical Metrics

847K
Lines of Production Code
23
ML Models in Production
15.7K
Security Threats Blocked
1,247
Successful Deployments

Featured Projects

A showcase of my work in machine learning, cybersecurity, DevOps automation, and full-stack development

🎬 Movie Recommendation System

Content-based movie recommendation engine using machine learning to suggest similar movies based on user preferences and movie metadata. Features collaborative filtering integration. Top 10 movie recommendations with genre-based analysis

Python scikit-learn Flask pandas NumPy Matplotlib
View Code

🏥 Patient Visit Prediction System

Machine learning model to predict patient visits using XGBoost and linear regression. Complete MLOps pipeline with experiment tracking and performance monitoring.

XGBoost MLflow Flask scikit-learn pandas
View Code

🔍 Network Security Scanner

Comprehensive Python-based network scanner with Flask dashboard for detecting live hosts and open ports. Features real-time monitoring and security API integration.

Python Flask Shodan API Network Security Dashboard
View Code

🛒 Grocery Store Management System

  • Complete CRUD operations for inventory management
  • Real-time stock level tracking and alerts
  • Comprehensive transaction history logging
  • Automated reporting and analytics dashboard
Flask SQLite Python Database Design REST API
View Code

🤖 MLOps Pipeline Framework

Reusable MLOps framework for complete model lifecycle management including automated training, evaluation, versioning, and deployment with cloud service integration.Scalable cloud deployment architecture

MLflow Docker GitHub Actions Model Deployment Automation
View Code

🛡️ Security Information Gathering Tool

OSINT tool for passive reconnaissance using multiple APIs and data sources. Features automated report generation and threat intelligence integration following ethical hacking practices.

Python APIs OSINT Data Analysis Automation
View Code

📊 Feature Engineering Toolkit

Comprehensive Python library for automated feature engineering and data preprocessing. Includes statistical analysis, missing data handling, and feature selection algorithms for ML pipelines.

pandas NumPy scikit-learn Statistical Analysis Data Science
Development in progress

🐳 DevSecOps Container Pipeline

Secure container orchestration pipeline with integrated security scanning, automated testing, and deployment. Focuses on best practices for container security and compliance.

  • Docker containerization with security best practices
  • Kubernetes orchestration with network policies
  • Automated security scanning in CI/CD pipeline
  • Infrastructure as Code with Terraform
Docker Kubernetes Terraform CI/CD Security Scanning
Coming Soon

🔧 Infrastructure Monitoring & Security Platform

Comprehensive monitoring solution combining infrastructure metrics, security events, and automated incident response. Features real-time alerting, threat detection, and compliance reporting. Real-time infrastructure monitoring with Prometheus

Prometheus Grafana ELK Stack Python Security Analytics
In Planning

🚀 Cloud Security Automation Suite

Automated cloud security assessment and remediation platform. Features multi-cloud support, policy enforcement, and continuous compliance monitoring with automated fixes.

  • Multi-cloud security posture assessment
  • Automated vulnerability remediation
  • Policy-as-Code implementation
  • Continuous compliance monitoring
AWS Azure Python Terraform Security Automation
Future Project

Ready to Drive Innovation at Your Company?

I'm actively seeking new opportunities to apply my expertise in DevOps, Machine Learning, and Cybersecurity. Let's discuss how I can contribute to your team's success.

Let's Work Together View My Resume
Available for Full-time Positions
Open to Remote or On-site Work
Ready to Start Immediately

Reviews

A selection of testimonials from clients and colleagues who have worked with me.

"Denis is an exceptional DevOps Engineer. His expertise in ML/AI and cybersecurity is unmatched. He delivered a robust recommendation system that significantly improved our user engagement metrics. Highly recommended!"
- Sarah Johnson, Product Manager at TechCorp
"Working with Denis was a game-changer. His proactive approach to security and his ability to automate complex workflows saved us countless hours. His technical depth and communication skills are top-notch."
- Michael Chen, CTO at CyberSolutions
"Denis's MLOps framework was instrumental in our project's success. His ability to integrate ML models with existing infrastructure and automate the deployment process was truly remarkable."
- Emily Rodriguez, Data Scientist at AI Labs

Let's Connect

I'm always interested in discussing new opportunities, collaborating on innovative projects, or sharing knowledge about machine learning and cybersecurity.

Email
kinyuadenno1@gmail.com
LinkedIn
Professional Network
GitHub
Open Source Projects