
I'm a Software Engineer and Full-Stack Developer with over three years of production experience, currently working at CyberCup.ai and pursuing my M.Sc in Computer Science at Old Dominion University, Norfolk, Virginia. I specialise in building scalable, high-performance web applications using React, Next.js, TypeScript, and Node.js, with cloud deployments on AWS and Google Cloud Platform. From architecting backend systems handling 1,000+ concurrent users to integrating AI capabilities with OpenAI and LangChain, I focus on shipping reliable software that creates measurable impact. I am actively open to full-time roles.
Software Engineer with over 3 years of experience in software development.
Python, JavaScript, TypeScript, React.js, Next.js, Node.js, Express.js, PostgreSQL, MongoDB, GCP & AWS.
Graduated from Silver Oak University in May 2025.
Pursuing M.Sc. at Old Dominion University (in progress).
Building production-ready apps and deploying secure, high-performance applications.
Passionate about AI, machine learning, and cloud technologies like GCP and AWS.
December 2025 – Present
December 2024 – June 2025
June 2023 – December 2023
As a Software Engineer, I specialize in developing scalable and high-performance applications across web and cloud platforms. My expertise spans both frontend and backend technologies, including modern frameworks, databases, and cloud services, to deliver seamless and reliable solutions. Whether you need to build a new application, scale existing systems, or optimize performance, I can help turn your ideas into impactful results.
I build fast, accessible UIs with React and Next.js — server-side rendering, responsive layouts, and performance budgets under 2s FCP. Recent work includes a cybersecurity platform dashboard handling 1,000+ concurrent users and a job-tracking app with real-time analytics charts.
I design server-side systems with Node.js, Express, FastAPI, and GraphQL built to scale. I've reduced API latency by 35% through architecture refactoring, deployed services handling 20,000+ daily users, and maintained 99.9% uptime on AWS with CloudWatch monitoring.
I build typed RESTful and GraphQL APIs with full authentication, rate limiting, and documentation. I've designed 20+ endpoint systems for multi-tenant SaaS platforms and integrated third-party services including OpenAI, Stripe, Nodemailer, and Google Analytics.
I deploy and manage cloud infrastructure on AWS and GCP — Lambda functions, API Gateway, DynamoDB, S3, and automated pipelines. I've cut infrastructure costs by 21% while improving auto-scalability and reducing release cycles from weekly to daily via CI/CD.
I containerise applications with Docker, orchestrate with Kubernetes, and automate delivery with GitHub Actions and AWS CodePipeline. I've maintained 99.9% uptime across production systems while compressing release cycles and implementing zero-downtime deployment strategies.
I implement technical SEO, structured data (JSON-LD), Core Web Vitals optimisation, and generative engine optimisation (GEO) for discoverability in ChatGPT, Perplexity, and Gemini. I built and maintain this portfolio to best-practice SEO and AI-visibility standards.
Welcome to my portfolio! Here you'll find projects that highlight my skills in full-stack software development. From creating intuitive user interfaces to building reliable backend systems, I develop scalable and high-performance applications. I also work with cloud platforms and databases to manage deployment, integration, and performance optimization. Explore my work to see how I turn ideas into impactful solutions.
FeaturedAn AI-enhanced cybersecurity training platform combining traditional CTF challenges with LLM-powered learning. Features isolated Docker challenge instances per user, team competitions, live leaderboards, structured learning paths, and Stripe-powered subscriptions.

A modern, secure job application tracker to manage your entire job search in one place. Features an AI-powered assistant (NESTAi), application analytics, interview scheduling, and email templates. A Techifive product.

A developer learning platform with tutorials, tools, and interactive resources used by 7K+ users, featuring insight dashboards and usage tracking.

An end-to-end ML pipeline and decision support system for predicting aviation delays across four major Virginia airports, built with a 3-engineer team processing 10 years of historical data.

A web application designed to streamline legal services by providing a platform for users, lawyers, and administrators.
I'd love to hear from you! Whether you have a question, feedback, or just want to say hello, feel free to reach out using the form below.