b
bryant_labz

Mo Qasim

@bryant_labz

Former Software Engineer at Markey Cancer Center

Estados Unidos
Inglês, Espanhol
Algumas informações são exibidas no idioma inglês.
Sobre mim
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!... Saiba mais

Habilidades

b
bryant_labz
Mo Qasim
offline • 
Tempo médio de resposta: 3 horas

Conheça meus serviços

Sites Personalizados
I will develop a scalable ai integrated modern website
A partir deUS$ 95 /projetoMais detalhes
Desenvolvimento Multiplataforma
I will build a fast and scalable ai mobile app for ios and android
A partir deUS$ 100 /projetoMais detalhes

Portfólio

Experiência profissional

University_of Kentucky

University of Kentucky

Meio período • 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 • Período integral

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.