- Working on building a scalable and interoperable IoT platform based on oneM2M standards. Tools and Technologies used: Java, Kafka, Spring Boot, MongoDB, VerneMQ

- Worked on Elasticsearch implementation and integration to power free text and contextual search queries. Tools and Technologies used: Javascript, Elasticsearch, Tensorflow - Performed statistical analysis and implemented regression models on healthcare data to estimate surgery expenses. Tools and Technologies used: Python, Scikit Learn, Tensorflow, Keras, Spacy, NLP, Deep Learning(MLP) - Built and deployed an aspect-based opinion mining and sentiment analysis system. Tools and Technologies used: Python, Pyspark, Tensorflow, Keras, Scikit Learn, Spacy, NLP(Dependency Parsing), Deep Learning(LSTM, CNN), Hbase - Worked in the development and deployment of topic modeling, clustering and keyword based text summarizer to extract relevant information from unstructured text data. Tools and Technologies used: Python, Scikit Learn, Spacy, Gensim, NLP, Flask API

- Analyzed and extracted relevant statistics, insights and opinions over healthcare text data. Tools and Technologies used: Python, NLP, Spacy, NLTK- Implemented ontology and concept graph for “Question and Answering System” meant for disability care services in USA. Tools and Technologies used: Python, NLP, Spacy, NLTK, Flask API-Wrote web crawlers to scrape and parse unstructured text data from various web pages. Tools and Technologies used: Java, Apache Nutch, Crawler4j, Selenium, Jsoup, Hbase

My internship in the domain of Game Development was a great experience that allowed me to better understand different facets of a game. Throughout my internship, I extensively worked on Unity3d Game Engine and C#. I worked in the development of a digital puzzle game which was designed to make learning programming languages and concepts easy. I also implemented a data logger for a digital board game on Facebook which recorded the moves of the players.