مسعود رضاپسند

My journey into computer science began with a curiosity about how machines can perceive, learn, and make decisions on their own. Over time, this curiosity grew into a deep interest in artificial intelligence, particularly in neural networks, computer vision, and brain-inspired computing.

I began my professional path as a Frontend Developer at GBS (September 2025 – February 2026), a company working in both AI and web development, where I contributed to building web applications and strengthened my skills in modern frontend frameworks. This experience gave me a solid foundation in translating technical ideas into functional, user-facing products.

Since March 2026, I have been working as an Undergraduate Research Assistant (Researcher) at the Applied Deep Learning Lab (ADL). Within this lab, I am currently working on pose detection, neuromorphic computing, and Graph Neural Networks (GNNs), including contributions to the RANC project. Looking ahead, I plan to expand my research into reinforcement learning as well.

Skills:

Java, JavaScript, TypeScript, Python

React.js, Next.js, npm, yarn

NumPy, Keras, TensorFlow, PyTorch, pygame

Machine Learning: Neural networks, deep learning, machine learning

Neural Networks: Pose detection, Graph Neural Networks (GNNs), neuromorphic computing

Web Development: Frontend development with React & Next.js

Research interests: Reinforcement learning

Projects:

RANC (neuromorphic computing project)

Pose detection

Graph Neural Network (GNN) based projects

Neuromorphic computing research

Various web applications and websites (prior industry work at GBS)