I am a Software Engineer specialising in Frontend Development with 7+ years of experience in building web apps. I have had the opportunity of collaborating with diverse businesses, companies, and agencies worldwide since 2018.
Get in touch!Hello! My name is Rabii and I’ve had the opportunity to work across different environments; from freelancing on small passion projects, to collaborating with start-ups, to contributing at established companies where scalability and performance were key. Each step has shaped the way I think about building interfaces: balancing clean design with practical code, and always keeping the user’s experience front and center.
These days, my focus is on crafting modern, responsive, and accessible frontend experiences using React, Astro, and Tailwind. I enjoy the challenge of translating complex ideas into intuitive products that feel simple to use.
Beyond client work, I’m constantly experimenting with new tools and workflows, whether it’s exploring design systems or automating deployment pipelines, always looking for ways to push my craft forward.
Here are a few technologies I’ve been working with recently:
React
Next.js
Astro
Javascript
Typescript
Tailwind
A minimal readme maker that allows users to easily create a Github profile readme file using sections.
Social gaming platform where users can create, share and comment on video games lists.
Engaging thematic solitaire card games that can be played with standard playing cards.
Collaborated with stakeholders across pharma, finance, and public sectors to design and deliver scalable, user-friendly web applications, improving decision-making workflows and user adoption.
Developed responsive interfaces and optimized app performance through modern frontend tools and best practices, ensuring maintainability and efficiency.
Partnered with stakeholders in the telecommunications sector to design and deliver a large-scale Business Intelligence platform with interactive dashboards, enabling data-driven decision-making.
Collaborated with cross-functional teams to analyze customer behavior, present insights, and streamline reporting workflows through automation, improving efficiency and business outcomes.
Built a data-driven application that collected and transformed large-scale sports data into feature-rich datasets, enabling predictive analytics.
Developed and deployed machine learning models to forecast outcomes with high accuracy, supporting informed decision-making for stakeholders.