Aaryan Garg

Aaryan Garg is a dedicated individual with a passion for computer engineering research, focusing on machine learning, data science, and software development to address real-world challenges.

His technical expertise includes Machine Learning, Artificial Intelligence, Data Science, Computer Vision, Natural Language Processing, and a variety of Neural Networks like CNNs, RNNs, and LSTMs.

Aaryan is proficient in programming languages such as Python, C, C++, MATLAB, and SQL, and he has worked on various impactful projects ranging from face recognition to music generation to OCR using neural networks.

He has received several honors and awards, including being ranked 1460 in JEE Advanced and achieving a GPA of 3.95/4.0 during his Bachelor of Engineering in Computer Engineering at Purdue University College of Engineering.

Aaryan has valuable industry experience, having interned at Apple as a Software Engineering Intern and at Zoomi.ai as a Data Science Intern.

He has also led the Neural Network Team for Forest Inventory Analysis at Purdue's Vertically Integrated Projects and served as a Teaching Assistant and Student Researcher at Purdue University.

Aaryan's diverse skill set, academic achievements, and practical experiences make him a well-rounded professional in the field of computer engineering.