Shayan Ahmad Siddiqui

- Few shot segmentation for volumetric medical images. (Pytorch) Segmentation on Medical scans using only a few annotated samples. Conceived and implemented the entire machine learning pipeline and also carried out the required research work. - Brain segmentation using deep neural networks. (Pytorch) Implementation of the entire segmentation pipeline on Pytorch. Code restructuring and packaging of common reusable components. Evaluation metric visualization and benchmarking of results

- UI tool for data mining of patents dataset. (Angular, Flask) Design and development of a component orientated UI for searching and manipulating patent portfolios from a Solr dataset. - Clustering of patents using topic modeling on text abstracts. (Gensim, NLTK, Pandas) Research and rapid prototyping of clustering patents into topics by using their text abstracts. Various approaches were applied on the dataset as part of experiments. This includes LDA, Word2Vec, and K-Means.

- Enhanced UI and front-end development. (Ember.js, Vue.js, SpringMVC, Spring boot) - Implemented browser-based end to end encryption. (WebCrypto API) - Introduced WebSocket support for push notifications. (Sock.js)

- Implemented User Management for WIPO - a UN agency. (Angular, Java, Elasticsearch) - Development of McDonald’s global web and mobile ordering system. (jQuery, SpringMVC)

- Lead the development and maintenance of payment settlement system for Reserve Bank of India. (JSF, Java EE, Hibernate)

- Developed a web application for filing claims and creating policies for Seguros Bolivar – on of the largest insurance provider of Columbia. (JSF, EJB, JPA) - Proof of Concept of a web tracking tool for parcel deliveries for RedServi – a Columbia based logistic company. (Struts, Spring, Hibernate)

- Machine Learning - Computer Vision - Software Engineering