Abylay Dospayev

I’m a CS Master’s student and Software Engineer who builds AI models, web backends, and autonomous systems. I bring a hands-on engineering mindset—turning prototypes into deployable infrastructure with an emphasis on reliability, latency, and maintainability.

In my current role as a Technical Generalist at Jet City IT, I deployed enterprise hardware for Amazon and CoreWeave, maintaining a 100% on-time delivery rate. I also resolved technical escalations for 200+ users and migrated 500+ corporate devices while following strict enterprise data security protocols.

As a Software Engineering Intern at Verrafied.ai, I built initial product infrastructure that decreased client onboarding time by 30%. I developed Python and REST APIs that accelerated new feature delivery by 2 weeks—helping the team move faster without sacrificing structure.

My research and projects focus on practical computer vision and edge AI. I trained a PyTorch and ResNet-50 image classifier reaching 86% accuracy across 12 crop categories, implemented Grad-CAM for real-time heatmap validation, and built a Gradio interface for inference testing. I’m also developing Project Artemis, an autonomous aerial laser weeding system driven by real-time edge AI inference, and Kyshik, a social-impact mobile app with a FastAPI backend deployed alongside 50 local volunteers.