A tech enthusiast and a problem solver from San Francisco. I'm a MS candidate, specializing in Computer Science. My areas of interest include Software Development, Big Data, Machine Learning, Deep Learning. Having done a number of projects during my undergrad, I'm well versed with the basics of these fields. I have my strengths at logical reasoning, solving quantitative problems, and general problem solving.
A glimpse of my works done during my under graduation from India!
Developing a semantic segmentation model to classify each pixel among the everyday traffic scene objects. Exploring advanced CNN algorithms: Xception, Inception-v4, ResNeXt-50, U-Net.
Led a team of 3 to design and implement a Deep Learning architecture to analyze digital knee MRI scans and predict if there is an ACL tear. Achieved an accuracy of 90.8% on test dataset.
Designed a CNN model to recognize handwritten text and convert it into a .pdf, .txt file. Achieved 90% accuracy on train dataset.
Languages: Python, C++, Java, C, SQL, Javascript
Databases: MySQL, PostgreSQL, MongoDB, Neo4j
Libraries/Frameworks: TensorFlow, Keras, Scikit-learn, Hadoop, PySpark, Django, Flask,, NLTK, OpenCV, Pydicom, Matplotlib, Seaborn, Numpy, Pandas, BeautifulSoup, Rake, jQuery
Cloud Technologies: GCP, AWS, Heroku
Having a profound interest in developing solutions to real world problems and using Machine Learning in every possible manner, these courses helped me set my base strong.