About

Rohit Patwa is a highly skilled software engineer at Google with over 4 years of professional experience and a Master's degree in Data Science from Northeastern University, Boston. He possesses a rapid prototyping mindset and profound research and software development skills, making him an asset to any team. Rohit has a diverse skill set that includes expertise in Python and C++, as well as experience with Elasticsearch, MongoDB, and MySQL datastores. He is also proficient in Pytorch, Keras, Tensorflow, NLTK, Numpy, Scikit-learn, and Pandas tools. Before joining Google, Rohit worked as a Research Assistant at Squark, where he contributed to the development of an AutoML pipeline that can process any structured dataset from any domain with no/minimal human intervention. He added text processing capability to the pipeline using BERT, which improved the pipeline's accuracy for text datasets by 20%. Rohit also implemented model interpretability for BERT using a document-term matrix, which helps the end-user understand the meaning of text embeddings. Additionally, he implemented the CI/CD pipeline for auto-scaling of AWS resources through bash scripts. Rohit also worked as an NLP Engineer at Newwave Telecom & Technologies, Inc., where he was responsible for processing Electronic Health Records from various health insurance providers. He developed an ensemble-based Handwriting Detection model for automated flagging of uncodable Electronic Health Records and increased model interpretability by integrating GradCAM and Lime. Rohit also exposed the trained model as REST API using Flask and Docker image to process 10k EHRs per day, reduced the processing time of the overall task by 95% with respect to the manual approach, and implemented a semi-supervised learning pipeline that helped in manual tagging of medical data. Rohit's education history includes a Master's degree in Data Science from Northeastern University, Boston, and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from the LNM Institute of Information Technology. He also completed a course in Deep Learning from Harvard University. Rohit's tech stack includes expertise in Software Engineering, BERT, Research Science, Keras, Scikit, AWS, NLP, Python, Data Science, Tensorflow, Pandas, MySQL, MongoDB, Elastic Search, Pytorch, AI, CI/CD, Supervised Learning, Spark, test, Docker, and Flask. With over 5 years of relevant experience, Rohit is