Arpit Sharma

Arpit Sharma is a dedicated masters student at the University of Southern California specializing in Machine learning with a strong mathematical foundation and in-depth knowledge of various machine learning/deep learning algorithms.

With a carefully curated coursework at USC and meticulous projects, Arpit has gained extensive knowledge in machine learning, deep learning, computer vision, and natural language processing.

Arpit has applied his skills through various internships and projects, showcasing expertise in languages such as Python, MATLAB, C++, MySQL, Java, HTML, and CSS, and tools like NumPy, Pandas, SciPy, Apache Spark, Git, Flask, and others.

Passionate about participating in hackathons, Arpit's achievements include winning the Ford prize at Cal Hacks 6.0 conducted by the University of California, Berkeley.

Arpit's expertise extends to visualization tools like Matplotlib, Seaborn, and Plotly, along with machine learning/statistical libraries such as Scikit-Learn, statsmodel, and spark MLlib.

Proficient in deep learning frameworks like Keras, PyTorch, TensorFlow, NLTK, OpenCV, HuggingFace, and SpaCy, Arpit is well-versed in supervised and unsupervised models including Random Forest, KNN, Logistic Regression, SVM, and many others.

Experienced with cloud services such as GCP, AWS S3, EC2, EMR, and Sagemaker, Arpit is actively seeking full-time opportunities from February 2021.

Arpit Sharma holds a Master of Science - MS in Electrical and Computer Engineering from USC and a Bachelor of Technology - BTech in Electronics and Telecommunication Engineering from Veermata Jijabai Technological Institute (VJTI).

Having worked as an AI/ML Engineer at Informatica, Computer Vision Engineer at neurohire, and a Deep Learning Research Assistant at WiDeS Lab, USC, Arpit's diverse experiences and strong skill set make him a valuable asset in the field of machine learning and AI.