Open to opportunities

Sabina Gušić

@sabinagui

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Software Engineer building AI-powered SaaS and full-stack web apps across frontend and backend.

Bosnia and Herzegovina

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What I'm looking for

I want to build AI-powered SaaS and full-stack products in Agile teams—translating Figma into polished UI, shipping reliable backend APIs, and collaborating closely using Git, Docker, and code reviews.

I’m a Software Engineer focused on developing AI-powered SaaS products and full-stack web applications. I enjoy building production-ready frontend experiences with React, JavaScript, TypeScript, and Tailwind CSS, while also contributing confidently on backend services.

In my WHIPCREAM Software Engineer Intern role, I developed responsive UI features from Figma designs, implemented onboarding and dashboard flows, and built backend functionality for business logic and scoring calculations. I also worked on third-party integrations using Nango, contributed to AI agent workflow features, and collaborated using Git/GitHub, pull requests, Docker, and Agile engineering practices.

Earlier, as an AI Intern at FOREO, I built a data-processing pipeline for traffic-quality analysis, including synthetic GA4-style event generators and scoring based on engagement metrics. I also applied rule-based and Isolation Forest anomaly-detection approaches and supported automated KPI reporting, alongside full-stack projects using ASP.NET Core/Blazor/Radzen and Django/React.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

WHIPCREAM

Apr 2026 - Jul 2026 (3 months)

Contributed to development of an AI-powered SaaS platform for revenue analytics and business intelligence. Built responsive React/Tailwind UI features and backend logic for onboarding, dashboards, scoring calculations, and workflows, and implemented third-party integrations using Nango.

React JavaScript Tailwind UI Figma Onboarding Dashboard Development Workflow Development Nango Integration Git GitHub Docker Agile

AI Intern

FOREO

Feb 2026 - Apr 2026 (2 months)

Built a data-processing pipeline for traffic-quality analysis across acquisition channels. Developed synthetic GA4-style event generators and implemented traffic-quality scoring with rule-based and Isolation Forest anomaly detection methods to support automated marketing-performance reporting.

Data Pipelines Synthetic Event Generation Traffic Quality Scoring Engagement Metrics Bounce Rate Anomaly Detection Isolation Forest Marketing Reporting

Education

Degrees, certifications, and relevant coursework

Faculty of Electrical Engineering, University of Sarajevo

Bachelor of Electrical Engineering, Power Engineering

2020 - 2024

Bachelor of Electrical Engineering in Power Engineering at the University of Sarajevo. Coursework included programming techniques, object-oriented analysis and design, electrical machines, power systems, power electronics, and high-voltage engineering.