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Mo Qasim
@bryant_labz
Former Software Engineer at Markey Cancer Center
États-Unis
Anglais, Espagnol
À propos de moi
Hi! I’m an expert Software Engineer specializing in AI integration and custom product development.
I help startups and businesses turn ideas into production-ready software using modern AI tools and scalable architectures. Whether you need a smart feature integrated into your existing application or an end-to-end AI product built from scratch, I deliver clean, reliable solutions.
How I can help:
Seamless AI integration (Web & Mobile)
Modern web and mobile app development
Custom product development & prototyping
Workflow automation
Let’s build something powerful together—message me today!
Compétences
Mo Qasim
hors ligne •
Temps de réponse moyen de 3 heures
Voir mes services
Sites Web personnalisés
I will develop a scalable ai integrated modern website
Développement multiplateforme
I will build a fast and scalable ai mobile app for ios and android
Portfolio
Expérience professionnelle
University of Kentucky
Temps partiel • 3 yrs
Software Engineer Research Assistant
May 2024 - Present • 2 yrs 3 mos
Working as a Graduate Research Assistant at Markey Cancer Center, University of Kentucky. Focused on research initiatives involving optimization of data and computation within a clinical and toxicological context.
Teaching Assistant
Aug 2023 - May 2024 • 9 mos
Instructed lab sections for the Intro to Software Engineering course. Responsible for guiding students through practical software development concepts and grading technical assignments.
Software Enginner Analyst
ibexsystems • Temps plein
Nov 2022 - Jul 2023 • 8 mos
Developed scalable pagination system (Vue.js + Node.js) for real-time call data. − Built backend APIs to handle live call records and playback data efficiently. − Contributed to an employee monitoring platform aimed at reducing fraud (~70% target impact). − Gained practical experience in full-stack development using C# .NET, Python, Vue.js, and Node.js. − Participated in team leadership meetings to break down business requirements into technical tasks, aligning with agile methodologies.
