I bridge the gap between abstract mathematical modeling and production-grade software architecture. With an M.Sc. in Applied Mathematics (Numerical Analysis) and a deep background in Full-Stack Development (MERN & PHP), I design, optimize, and deploy secure, scalable software systems alongside high-performance computational algorithms.
- Full-Stack Engineering: Architecture of robust monolithic systems via PHP and scalable decoupled single-page applications (SPAs) via React and Node.js.
- Database Design & Performance: Designing relational database schemas in MySQL and document-oriented models in MongoDB, optimized for high read/write frequencies.
- API Development & System Integrations: Building standard RESTful APIs, securing endpoints (JWT, OAuth), and structuring microservices that handle intensive server-side workloads.
- Modern Web Workflow: Professional use of Git/GitHub version control, package management (NPM, Composer), asynchronous task handling, and server deployment.
- Numerical Analysis: Direct and iterative solvers for linear systems, matrix decompositions (LU, QR, SVD), and numerical integration.
- Differential Equations: Modeling physical and stochastic systems using custom Finite Difference Methods (FDM) and Runge-Kutta variations.
- Scientific Computing: Vectorizing data loops to optimize computational runtime and using web stacks to build browser-based mathematical visualization wrappers.
โโโ Full-Stack Development โ JavaScript (ES6+), React.js, PHP, Node.js, Express.js
โโโ Databases & Storage โ MongoDB, MySQL, Redis, JSON Parsing
โโโ Academic & Math โ NumPy, SciPy, Matplotlib, MATLAB / GNU Octave, R Programming
โโโ Dev Tools & Lifecycle โ Git, GitHub, RESTful APIs, Postman, Linux Bash Shell
- Developed and deployed production-grade web applications utilizing PHP/MySQL for secure data processing and dynamic user experiences.
- Architected end-to-end full-stack web platforms via the MERN Stack, implementing secure JWT authentication, state management, and real-time database reactivity.
- Developed a responsive web dashboard using React.js to visualize real-time solutions for Ordinary Differential Equations (ODEs).
- Integrated a high-performance Python (SciPy) computational engine on the backend, spawned dynamically via Node.js child processes to execute Runge-Kutta algorithms.
- Built a suite of custom MATLAB/GNU Octave and R scripts executing custom algorithms for numerical linear algebra solutions (Ax = b).
- Implemented convergence tests and benchmarked optimization metrics, comparing native array loops against vectorized operations.
- Active Goal: Transitioning into an M.Phil./Ph.D. research track focusing on Computational Mathematics and Advanced Numerical Methods.
- Open to: Software engineering roles, technical writing, or interdisciplinary collaborations involving scientific software design and quantitative simulation.
๐ซ Let's Connect: oluwakejionabajo@gmail.com | https://www.linkedin.com/in/oluwakejionabajo

