Mohmd Taimoor
@mohmdtaimoor
Software engineer specializing in .NET backend, AI integration, and DevOps automation.
What I'm looking for
I am a computer science graduate and software engineer focused on .NET Core backend development, artificial intelligence, and DevOps practices.
At Techverx, I developed and maintained scalable backend services for the FRYDAY POS system within a microservice architecture, built and integrated robust RESTful APIs, and coordinated frontend-backend workflows with React. I used Git, GitHub, and GitLab for version control and implemented CI/CD pipelines with Jenkins while containerizing applications with Docker.
My projects include Chef Connect (FYP) — an on-demand chef booking app with AI-based meal recommendations, CodePulse — an AI workflow automation agent built with Python, spaCy, and regex to analyze commits and prioritize tasks, and ZOUQ — an AI food app plus a Car Rental Web App built with .NET and SQL Server. These projects demonstrate practical skills in AI automation, NLP, backend CRUD operations, and cloud-integrated mobile/web apps.
I am driven to deepen hands-on experience in LLM integration, AI agent development, and DevOps automation, and I bring strong teamwork, task management, debugging, and ownership to deliver real-world impact.
Experience
Work history, roles, and key accomplishments
Software Engineer
Techverx
Jan 2023 - Present (2 years 7 months)
Developed and maintained scalable backend services for the FRYDAY POS system using .NET Core in a microservice architecture and built RESTful APIs to integrate with React frontends. Implemented Jenkins CI/CD pipelines and containerized applications with Docker to improve deployment consistency across environments.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences (FAST)
Bachelor of Computer Science, Computer Science
Activities and societies: Student Ambassador at Arbisoft; Vice President, Fast Voice Debating Society.
Bachelor of Computer Science from the National University of Computer and Emerging Sciences (FAST).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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