Arya Azimi is a Full-Stack AI Engineer with a strong focus on machine learning, intelligent systems, and modern software development. He excels at bridging the gap between complex AI algorithms and high-performance web interfaces to build practical, scalable, and data-driven applications. His work leverages advanced machine learning techniques to solve real-world industrial challenges, with a particular interest in predictive analytics, computer vision, and automation.

Professional Experience

2024 – Present

Magnora (Co-Founder)

As Co-Founder of Magnora, Arya drives the development of end-to-end AI products and software solutions. His core responsibilities span the entire machine learning pipeline—from extensive data preprocessing and advanced data visualization to architecting complex deep learning models, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). He actively leads model implementation across diverse areas such as classification, association rule learning, and reinforcement learning, ensuring that intelligent systems are reliable, highly performant, and seamlessly integrated into high-quality software architectures.

Skills & Expertise

• Full-Stack AI Integration
• Deep Learning (CNNs, RNNs) & Reinforcement Learning
• Classification & Association Rule Learning
• Data Preprocessing & Advanced Visualization
• Software Architecture & API Development
• Predictive Analytics & Automation
• Problem Solving & System Design

Independent Software & AI Projects

Worked on a variety of robust independent and collaborative projects involving end-to-end software engineering and machine learning applications. Gained hands-on expertise in developing sophisticated data-driven applications, designing clean object-oriented software architectures, and implementing predictive models for real-world diagnostics and analytics.

Another general Skills

• Machine Learning Fundamentals
• Python Ecosystem & Modern Web Frameworks
• Model Evaluation & Optimization
• Clean Architecture (OOP & Testing)
• Backend & Frontend Systems
• Data Analysis