Vahidreza Niazmand is a Senior Application Developer with seven years of experience blending front-end engineering and deep learning research, currently based in Mississauga, Canada. He has delivered production-grade React Native and Next.js apps, notably as a founding front-end engineer who cut load time by 40% and achieved a 99.9% crash-free session rate. Academically strong, he holds an MSc in Computer Science (4.0 GPA) and published in Q1 journals after leading CUDA-accelerated PyTorch research that reduced inference time by 60% and sped up RL training. At startups and enterprise teams he pairs hands-on UI/UX design with CI/CD automation (GitHub/GitLab, CodePush) and Firebase/GCP integrations to improve user engagement and deployment velocity. He also mentors junior developers, runs rapid iteration cycles, and experiments with prompt engineering to accelerate team productivity. Known for translating research-grade optimizations into measurable product wins, he thrives at the intersection of ML, mobile performance, and product-driven front-end work.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Shiraz University
Master's degree, Computer Science, 94/100 (4.0/4.0), Master's degree, Computer Science, 94/100 (4.0/4.0) at Memorial University of Newfoundland
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