DevOps & Cloud Engineer | Critical Infrastructure & Reliability

With over 20+ years as Principal Manager in critical national infrastructure at the Transmission Company of Nigeria, I bring deep expertise in high-reliability systems, operational excellence, and secure environments.

I am currently pursuing an MSc in DevOps & Cloud Computing at IU International University of Applied Sciences, with strong results:

• DevOps – 96% (Distinction)
• Advanced Research Methods – 90% (Distinction)
• Cloud Computing Project – 84% (Good)

My GitHub showcases practical CI/CD pipelines, cloud-native ML deployment, infrastructure automation, and domain-driven projects such as GridPulse 330 (an interactive SCADA/EMS-style contingency simulation for 330 kV transmission systems).

📂 View Personal Portfolio Website

An enterprise-grade SCADA/EMS Telemetry & Contingency Console designed for National Control Center (NCC) power dispatchers, bridging meteorological forecasting with real-time electrical grid stability.

Bulk 330 kV Extra-High-Voltage (EHV) networks face sudden catastrophic collapse during severe convective storms:

• Turbine Rotor Overspeed ($f > 51.00\text{ Hz}$): Sudden industrial load rejections cause mechanical torque to exceed electrical load, accelerating synchronous rotors past statutory ceilings.
• The Ferranti Effect ($V > 340.0\text{ kV}$): Long, lightly loaded bulk transmission links accumulate massive shunt capacitive charging ($Q_{\text{charging}}$), producing destructive overvoltage surges.

• 📡 Doppler Radar Horizon Integration: Anticipates atmospheric storm fronts and lightning threats in real-time, predicting physical line trips before they occur.
• 🚨 Statutory Dual-Threshold Engine: Triggers instantaneous visual and acoustic alarms when 330 kV bus voltages ($>340\text{ kV}$) or grid frequencies ($>51.00\text{ Hz}$) breach safety limits.
• ⚡ Double-Circuit Corridor Protection: Monitors transmission lines (e.g., Ikeja West – Oshogbo) with ANSI 87L differential protection and dynamic $N-1$ thermal transfer modeling.
• 🎛️ Closed-Loop Dispatch Playbook: Instant operator restoration controls — switch in 150 MVAR Shunt Reactors, ramp generation down (-400 MW), and execute synchrocheck auto-reclose.
• 📜 Sub-Second SCADA Sequence of Events (SOE): Immutable event audit stream capturing transient waveforms, relay activations, and operator commands for root-cause analysis (RCA).

• Frontend & UI: React 19, TypeScript, Tailwind CSS v4, Lucide Icons
• Tooling & Build: Vite 8, Bun / Node.js
• Mathematical Modeling: Swing equations, Ferranti capacitance derivations, governor droop simulation
• Deployment: Vercel Edge CI/CD Pipeline

👉 Explore Live Production Console • View Codebase & Architecture Docs

MSc DevOps & Cloud Computing Coursework

I designed and developed a contract-first microservices-based Movies API to demonstrate end-to-end API engineering, automated testing, and reproducible performance evaluation.

Key Highlights:

• OpenAPI v3 contract-first design with full CRUD, RBAC, and error handling
• Comprehensive testing (unit, integration, contract) + k6 load testing
• GitHub Actions CI/CD pipeline with reproducible artifacts
• Performance baselines (P50 < 100ms, P95 < 500ms)

Skills Demonstrated: Microservices architecture, OpenAPI, performance engineering, CI/CD, technical documentation.

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MSc DevOps Module | Grade: 96% (Distinction)

I built a full-stack web application with a complete enterprise-grade CI/CD pipeline.

Key Highlights:

• Automated build, test, and deploy using Jenkins, Maven, Selenium, JUnit, and GitHub Actions
• Security scanning with Dependabot and structured logging
• Agile/Scrum methodology with Jira + GitHub Copilot

Skills Demonstrated: CI/CD orchestration, automated testing, security practices, DevOps tooling.

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🔐 An Empirical Study of IEEE 802.11 & WPA3 Adoption Gaps and Feature Prioritization in Campus & Public Wi-Fi Hotspots

MSc Course | Grade: 90% (Distinction)

I designed an empirical research proposal to deliver evidence-based prioritization of IEEE 802.11 features and WPA3 capabilities for dense, multi-AP environments.

Research Scope:

• ⚡ Performance benchmarking in high-density scenarios
• 🚶 Roaming & handover resilience for latency-sensitive applications
• 🛡️ Security evaluation — WPA2-to-WPA3 migration and management frame protection

Key Deliverable: Prioritized deployment roadmap for secure cloud-edge networking and zero-trust access.

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📄 Full PDF Proposal

MSc Cloud Computing Project | Grade: 84% (Good / 2.0)

I designed and deployed a cloud-native ML recommender system for power grid operations. The prototype analyzes grid assets and generates prioritized risk-based maintenance recommendations to support predictive reliability management.

Built With:

• Python 3.11, scikit-learn, pandas, joblib
• FastAPI (REST API for real-time recommendations)
• Docker
• AWS (ECR, S3, Elastic Beanstalk, EC2, IAM, CloudWatch)

Key Highlights:

• Trained tabular ML model for outage risk ranking and maintenance prioritization
• Developed and exposed a /recommend REST API endpoint
• Containerized and deployed the service to AWS Elastic Beanstalk
• Comprehensive documentation and operational considerations

Why this project matters: It bridges my 19+ years of grid operations experience with modern cloud and machine learning technologies.

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📄 Project Report

• MSc DevOps & Cloud Computing – IU International University of Applied Sciences, Germany (Ongoing)
  Current GPA: 80.5%

• BSc (Hons) Computing & IT – University of Derby, UK (2020)
  First Class Honours

Principal Manager – Grid System Operations
Transmission Company of Nigeria (19+ years)

• Managed high-voltage transmission networks with 99.9%+ reliability
• Led 24/7 grid operations, incident response, and emergency management
• Oversaw Energy Management Systems (EMS) and NERC compliance
• Currently focused on modernizing traditional infrastructure with cloud, DevOps, and AI/ML solutions

• Email: samuelakanimo@hotmail.com
• LinkedIn: linkedin.com/in/samuel-peter-5117223b

Let’s connect if you’re building resilient, secure, and intelligent systems where operational excellence meets modern cloud and automation.