Pulkit Pattnaik

Pulkit Pattnaik is a dedicated Master's student at USC with a strong focus on Machine Learning, Deep Learning, and Computer Vision.

With over 4 years of Python coding experience and 2+ years in C++, Pulkit is well-prepared in programming.

He is proficient in popular machine learning libraries like TensorFlow, Keras, PyTorch, and has previous experience with Caffe.

Pulkit's expertise includes image processing, deep learning, and various modern neural network architectures.

Prior to pursuing his master's degree at USC, Pulkit worked as a Software Engineer with a specialization in data analytics and machine learning.

His educational background includes a Master of Science from the University of Southern California, a B.Tech from the National Institute of Technology Karnataka, and additional coursework from Venkat International Public School in Bangalore and Coursera.

Pulkit has gained professional experience through roles such as Machine Learning Intern at ServiceNow, Research Assistant at USC, Software Engineer with a focus on Data Engineering at redBus, and internships at SanDisk, Carnegie Mellon University, and the Indian Statistical Institute.