Paul Namalomba - Computational Engineer, Full-Stack Software Developer & Materials Scientist

Computational Engineer specializing in Finite Element Analysis R&D, Backend and API Engineering, Data Engineering and Data Science, and most recently Web-stack Development.

Contents

• Contents
• About Me!
• Current Focus!
• Professional Experience
• Technical Skills
• Featured Projects
• Personal Projects
• 📊 GitHub Statistics
• Technical Expertise Areas
• Current Learning & Development

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About Me!

I'm a passionate Computational Engineer & Full-Stack Software Developer with expertise in Finite Element Analysis R&D for Civil Engineering applications; Data Engineering, Backend and API Development (REST and Custom APIs) for educational systems and a ride-sharing application --- I have extensive experience with multiple Backend Languages and Frameworks (.NET, C#, C++, Python), and with CI/CD tools such as GitHub Actions, Bitbucket Pipelines, Docker Compose, Vercel, Cloud Deplyment with Google Cloud Run, Azure Virtual Machines and Netlify. have experience with High-Performance Computing (HPC), having developed and optimized scientific computing software using PETSc, OpenMPI, MUMPS, ScaLAPACK, and other HPC libraries for parallel processing of large-scale simulations. As I am currently.

I currently am working for a startup called ComputeMore Africa as a Lead Backend Developer & Chief Innovation Officer on contract basis, building and maintaining robust C# .NET backend services and APIs for their ride-sharing mobile application, with full Google Maps API integration, JWT authentication, and real-time ride tracking using SignalR. Also working as SESKA Computational Engineer at University of Cape Town concurrent with my PhD study (in Computational and Applied Mechanics) where I develop advanced material analysis software and as SEAT Backend Developer at University of Cape Town on contract basis, building and maintaining robust Django + PostgreSQL applications for educational enrollment systems.

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Current Focus!

• Backend Development: Building scalable Django applications with PostgreSQL databases. Building Python apps and modules for data processing and analysis. Building RESTful APIs for data access and integration with C#.
• Computational Engineering & Materials Engineering: Developing finite element analysis tools with C++ for advanced materials testing - implementing computational mechanics, solid mechanics, finite element methods, and high-performance computing techniques.
• Data Engineering: Creating robust pipelines for scientific data processing and analysis, ensuring data integrity and performance. Database design, management, and optimization.
• Machine Learning & Data Science: Implementing machine learning-based clustering algorithms, outlier detection, and regression analysis for scientific data. Implementing computer vision for data analytics, and visualization using Google Generative AI and OpenAI APIs.

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Professional Experience

Chief Innovation Officer & Lead Backend Engineer - ComputeMore Africa Technologies

Current Position ([Oct 2025 - present])

• Developed backend services for ride-sharing application
• OpenAPI compliant RESTful API development
• API docs served with Swagger UI, with COMPLETE test coverage and documentation
• Implemented JWT authentication and role-based access control
• Database schema design and optimization for ride and user data
• Collaborated with front-end developers for seamless integration

Referees: Mr. Thanthwe Kalonga (Managing Director, ComputeMore Africa)
Key Technologies: C#, .NET 8/9, .NET ASP and EF Core, PostgreSQL, REST APIs, JWT, Swagger, Git, Docker CI/CD

SESKA Computational Engineer

Current Position (Concurrent with PhD studies [September 2023 - Present])

• Develop advanced material analysis software in C++ and Fortran for engineering applications
• Create algorithms for LVDT (Linear Variable Differential Transformer) sensor data processing
• Implement sophisticated data filtering and segmentation techniques using high-performance computing libraries
• Unique Windows Port: Successfully ported SESKA software to Windows using MinGW64 - a challenging and fairly unique implementation leveraging PETSc on Windows
• CI/CD Management: Handle all continuous integration and deployment pipelines on Bitbucket
• Build visualization pipelines for materials testing analysis

Key Technologies: C++, Fortran, PETSc, OpenMPI, OpenBLAS, ScaLAPACK, MUMPS, METIS, MinGW64, Bitbucket CI/CD

SEAT Backend Developer | SEAT Backend Development Consultant

Current Position ([Dec 2021 - Jan 2022, Nov 2024 - July 2025, Nov 2025 - Feb 2026])

• Develop and maintain Django-based enrollment management system
• Design and implement PostgreSQL database schemas
• Build REST APIs for student enrollment and data management
• Ensure data integrity and system scalability
• Collaborate with academics for user requirements and system improvements
• Implement data validation and integrity checks

Key Technologies: Python, Django, PostgreSQL, REST APIs, Git

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Technical Skills

System Architecture and Operating Systems

System Scripting & Markup Languages

Back-end Programming Languages

Front-end and Web Development Languages

Frameworks & Libraries

APIs, Protocols and Endpoints

HPC, Parallel Computing & Scientific Computing

Databases & Tools

Containerization, Integration & Deployment

Specializations

• High-Performance Computing: C++/Fortran development with PETSc, OpenMPI, parallel computing
• Cross-Platform Development: Unique Windows porting expertise using MinGW64 for scientific software
• CI/CD Engineering: Bitbucket pipeline management and deployment automation
• AI Development: Generative AI text and image generation, computer vision for data analytics using Google Gemini and OpenAI APIs
• Data Science & Machine Learning: Statistical analysis, clustering algorithms, outlier detection
• Scientific Computing: Materials testing analysis, LOWESS smoothing, gradient analysis
• System Administration: Windows, Linux, automation scripting
• Data Engineering: ETL pipelines, data validation, processing optimization
• Backend Development: Django applications, API-access and integration, PostgreSQL databases
• Frontend and Web Development: React applications, TypeScript, modern UI/UX design with Tailwind CSS

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Featured Projects

Ecoride Ride-Sharing App (Android + iOS + Admin Dashboard + Web Services)

Professional Project - Backend & API Development, Flutter Apps for Android and iOS C# .NET-based backend services for a ride-sharing mobile application. PostgreSQL database design and RESTful API implementation.

Key Features:

• User authentication and role management, custom Auth API with JWT
• API documentation with Swagger UI
• API endpoints for ride management with full, hard Google Maps API integration
• SignalR for real-time ride tracking and updates across driver and user clients
• RESTful API design for enrollment management
• PostgreSQL database with optimized schemas
• Data validation and integrity checks
• Scalability with Kubernetes and Docker CI/CD pipelines
• Plan to push up to Google Cloud run + SQL for production deployment

Architectures & Technologies: Windows, Docker, Google Cloud Run, Azure VM
Back-end: C#, .NET 8/9, ASP.NET Core, EF Core
Notifications: Firebase Cloud Messaging (FCM), Resend, AfricasTalking
Database Architecture and APIs: PostgreSQL, REST APIs, HTTP/HTTPS, TLS/SSL, Swagger, JWT, SignalR
Demo Video: Ecoride Rider & Driver Apps v 1.0.03

SESKA Finite Element Analysis Software

Professional Project - SESKA A sophisticated finite element analysis software written in C++ and Fortran for advanced materials testing and computational mechanics applications.

Key Features:

• Material Damage Mechanics: Advanced algorithms for material failure analysis and damage progression
• Viscoplasticity Modeling: Time-dependent plastic deformation analysis for complex materials
• Composite Mechanics: Specialized routines for multi-phase and fiber-reinforced materials
• High-Performance Computing: Parallel processing with OpenMPI for large-scale simulations
• Cross-Platform Support: Successfully ported to Windows using MSVC++ and MinGW64
• HPC Integration: Deployed and optimized for UCT's High-Performance Computing cluster

Technical Achievements:

• Unique Windows Port: Challenging implementation leveraging PETSc on Windows with MinGW64
• Full-Stack Development: Complete pipeline from scientific research to programming to computational optimization
• CI/CD Management: Comprehensive version control and deployment on Bitbucket
• Library Integration: Advanced use of OpenMPI, PETSc, MUMPS, ScaLAPACK for parallel computation

Architecture & Technologies: Windows, Linux, Cygwin64
Back-end: C++, Fortran,
HPC Libraries: PETSc, OpenMPI, OpenBLAS, ScaLAPACK, MUMPS, METIS, MinGW64
Frameworks & Tools: MSVC++, Bitbucket CI/CD

SEAT Enrollment Management System

Professional Project - Backend Development Django-based web application for managing student enrollment and academic data.

Key Features:

• User authentication and role management
• Student enrollment workflows
• RESTful API design for enrollment management
• PostgreSQL database with optimized schemas
• Data validation and integrity checks
• Scalable architecture for educational institutions

Architectures & Technologies: Rocky Linux, Windows
Back-end: Python, Django
Database Architecture and APIs: PostgreSQL, REST APIs, HTTP/HTTPS, TLS/SSL, Celery

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Personal Projects

Smart Lame Parameter Calculator

A production-ready React web application that smartly cross-calculates linear isotropic material parameters from any two independent inputs. Deployed at www.smartlameparameters.space.

Features:

• Real-time calculation from any 2 independent elastic parameters (λ, μ, E, K, ν)
• Unit conversion between Pa, kPa, MPa, and GPa
• Parameter locking to fix values during recalculation
• Consistency checking for contradictory inputs
• Derivation trace showing which formulas were used
• Export functionality - results as JSON or CSV
• Permalink generation for sharing calculations
• Fully accessible with ARIA attributes and keyboard navigation
• Responsive design with modern UI/UX
• 100% TypeScript with comprehensive type safety
• 80%+ test coverage with Jest and React Testing Library

Front-End Technologies: TypeScript, React, Vite, Tailwind CSS
Testing: Jest, React Testing Library
Deployment: Vercel, GitHub Actions CI/CD, Netlify

MSE AI Agents - AI-Driven Data Collection and Analysis for Stock Market Investment

AI-powered data collection and analysis toolkit for stock market investment research using Google Generative AI and OpenAI APIs. Organised to maximise data insights for investment decision-making. Aiming to give the user an interactive AI assistant and DASHBOARD for stock market data analysis.

Features:

• Data Collection: Automated retrieval of stock market data from mse.co.mw - Malawi Stock Exchange, one of the top 3 best performing stock exchanges in Africa to USD.
• Auto-Rate Adjusted Data Scraping: Intelligent scraping that adjusts for current request rates to avoid server overload primarily.
• Automated Data Analysis: In-depth analysis using advanced statistical and machine learning techniques
• Interactive Dashboard: User-friendly interface for visualizing and interacting with data insights
• AI Integration: Leveraging Google Gemini and OpenAI for enhanced data interpretation and recommendations
• Investment Insights: Tailored insights to support informed investment decisions

Datashadric - Data Science Toolkit

A comprehensive Python package for data science, machine learning, statistical analysis, and visualization. Modularly organized for easy use and pip installation.

Features:

• Machine Learning: Naive Bayes models, logistic regression, model evaluation
• Statistical Analysis: Normality testing, confidence intervals, hypothesis testing
• Data Manipulation: Missing value analysis, data cleaning, one-hot encoding
• Regression Analysis: OLS modeling with diagnostic checks
• Visualization: Box plots, histograms, scatter plots, pairplots
• AI Integration: Data insights and visualization analysis using Google Generative AI and OpenAI APIs

Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SciPy, Statsmodels

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IP Masquerade - Privacy Proxy Server

A flexible HTTP/HTTPS proxy server built with Python and Flask for anonymous web browsing and IP masking with advanced privacy features.

Features:

• IP Masking: Hide real IP address from target servers
• Header Sanitization: Remove privacy-revealing headers automatically
• User-Agent Rotation: Automatic rotation to avoid detection
• Proxy Chaining: Route traffic through multiple proxy servers
• Rate Limiting: Built-in abuse prevention and stability
• SSL/TLS Support: Secure encrypted connection handling

Technologies: Python, Flask, HTTP/HTTPS Protocols, SSL/TLS, Network Security

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basketPredictor - Stochastic and Regression-Based Predictor

Data science project combining web scraping, regression analysis, and visualization for NBA basketball game prediction.

Features:

• Web scraping for real-time NBA data
• Advanced statistical analysis
• Machine learning regression models
• Data visualization and analysis
• Investment decision support tools

Technologies: Python, Pandas, Scikit-learn, Matplotlib, Web Scraping

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Sequential PDF Merger

A sophisticated PDF processing tool with GUI interface for merging multiple PDF files with advanced sorting and organization features.

Features:

• Intelligent file sorting algorithms
• User-friendly Tkinter GUI
• Batch processing capabilities
• PowerShell automation support and implementation, for producing .exe files for Windows users
• Cross-platform compatibility: Works on Windows, Linux, and macOS through the shell as well.

Technologies: Python, PyMuPDF, PyPDF2, Tkinter

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A3 to A4 Converter

Automated document processing tool for converting scanned A3 pages to A4 format with intelligent page detection and splitting.

Features:

• Automated page size detection
• Smart splitting algorithms based on page size and content-placement
• Batch processing for large documents
• Image processing optimization

Technologies: Python, PyMuPDF, PyPDF2, Tkinter

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System Management Scripts

Collection of automation scripts for Linux, Windows, and MSYS64 system administration and management.

Features:

• Cross-platform compatibility
• Automated system maintenance
• Performance monitoring tools
• Development environment setup

Technologies: Windows Powershell, Powershell 7+, Bourne-Again Shell

Related Guides: You can find my guides and scripts regarding system management and automation in the following categories:

1. Technical Documentation: Comprehensive power user guides for backend engineers, platform engineers, security engineers, and SREs covering enterprise-level technologies. DIRECT LINK: Technical Documentation Repository
2. Automation Scripts: Production-ready PowerShell scripts for Windows system management, file operations, GitHub workflows, and development automation. DIRECT LINK: Automation Scripts Repository

All guides follow a consistent template with quickstart instructions, key concepts, configuration best practices, security considerations, detailed examples, troubleshooting tips, and performance tuning recommendations.

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Simultaneous Equations Solver

Educational mathematical tool for solving systems of simultaneous equations with user-friendly input interface.

Features:

• Multiple equation solving methods two-variable and three-variable, multiple equation types
• Step-by-step solution display
• Error handling and validation
• Cross-platform Mathematics tool interactable through shell

Technologies: Python Math, NumPy, Linear Algebra

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📊 GitHub Statistics

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Technical Expertise Areas

Computational Science

• Materials testing and analysis
• Scientific data processing
• Statistical analysis and modeling
• Algorithm development for engineering applications

Data Engineering

• ETL pipeline design and implementation
• Data validation and quality assurance
• Database design and optimization
• Real-time data processing systems

Software Development

• Full-stack web development
• API design and implementation
• Database architecture
• System integration and automation

Machine Learning & AI

• Clustering algorithms (K-means, DBSCAN)
• Outlier detection methods
• Regression analysis and modeling
• Data visualization and interpretation

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Referees

<h3><strong>Prof. Sebastian Skatulla</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Professor of Computational Mechanics (UCT Civil Engineering)<br> Principal Innovator and Lead Developer, <em>SESKA</em> and <em>SEAT</em> (UCT Civil Engineering)<br> Director at Polar Engineering Research Group (UCT Civil Engineering) </p> <p><strong>Email:</strong> <code>sebastian.skatulla@uct.ac.za</code></p> <h3><strong>Mr. Mphatso Zangalama</strong></h3> <p><strong>Institution:</strong> Ecoride Malawi</p> <p><strong>Roles:</strong><br> Operations Manager (Ecoride Malawi) </p> <p><strong>Email:</strong> <code>mzangalama@gmail.com</code></p> <h3><strong>Mr. Theo Armstrong</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Laboratory Administrator (Student Computing Services UCT) </p> <p><strong>Email:</strong> <code>theo.armstrong@uct.ac.za</code></p> <h3><strong>Mr. Sibonelo Twala</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Senior Systems Engineer (Workplace Services UCT) </p> <p><strong>Email:</strong> <code>sibonelo.twala@uct.ac.za</code></p> </td> <td width="50%" valign="top"> <h3><strong>Ms. Celeste Wilson</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Deputy Faculty Manager (UCT EBE Faculty) </p> <p><strong>Email:</strong> <code>celeste.wilson@uct.ac.za</code></p> <h3><strong>Ms. Ayesha Dalwai</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Departmental Manager (UCT EBE, Civil Engineering) </p> <p><strong>Email:</strong> <code>ayesha.dalwai@uct.ac.za</code></p> <h3><strong>Dr. Maxime Nutte</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Postdoctoral Fellow (UCT Civil Engineering) </p> <p><strong>Email:</strong> <code>maxime.nutte@uct.ac.za</code></p> <h3><strong>Dr. John Okedi</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Senior Lecturer (UCT Civil Engineering)<br> Programme Convenor (UCT Civil Engineering) </p> <p><strong>Email:</strong> <code>john.okedi@uct.ac.za</code></p> <h3><strong>Dr. Keith MacHutchon</strong></h3> <p><strong>Institution:</strong> University of Cape Town (UCT)</p> <p><strong>Roles:</strong><br> Honorary Research Associate Lecturer (UCT Civil Engineering) </p> <p><strong>Email:</strong> <code>keith.machutchon@uct.ac.za</code></p> </td>

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Current Learning & Development

• Advanced machine learning techniques for materials science (Google Gemma Visual Data Analysis and Exploration)
• Cloud computing platforms (AWS, Azure, Google Cloud, Cloudflare)
• Microservices architecture and distributed systems
• DevOps and CI/CD pipelines for C#/.NET applications
• Advanced Docker and Kubernetes orchestration
• Advanced PostgreSQL workflow optimization with MPI

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Let's Connect

I'm always interested in discussing new opportunities, collaboration on interesting projects, or sharing knowledge about computational science and software development.

Professional Interests:

• Materials science computing
• Backend and API development
• Data engineering and analytics
• Scientific software development
• Educational technology solutions
• Open source contributions

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Additional Resources

• Download My Resume (CV) - Complete professional background and experience - showcasing my skills, certifications and referees!
• GitHub Profile - Explore all my projects and contributions, perhaps even collaborate on something new!
• LinkedIn - Professional network and updates, and also as a professional instant messaging platform...

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"Combining computational science with practical software engineering to solve real-world problems and drive digital innovation."