About

Bhargavi Sikhakolli is a highly skilled Research Engineer with expertise in Deep Learning and Application Development. She is currently pursuing her Master's degree in Information Systems from Northeastern University. With over 3 years of professional experience, Bhargavi has a strong background in Data Science and Machine Learning. In her current role as a Research Engineer at Buddi.ai, Bhargavi is researching Named Entity Recognition (NER) using Medical data (Electronic Health Records) with BILSTM and CRF models. She is also responsible for developing an Enhanced Named Entity Recognition Conversational Text Medical Data that relies on BioBert reference model and takes contextual information into account with entities. Furthermore, she has developed an algorithm leveraging Scala to automatically generate HCPCS codes for Electronic Health Records and has improved productivity by 70% unlike the manual process. Bhargavi's past experience at Buddi.ai as a Research Associate Trainee and Research Associate I has helped her develop a strong foundation in the field of Research Science, Machine Learning, and Artificial Intelligence. She is proficient in programming languages such as Scala and has hands-on experience in Deep Learning techniques. Bhargavi is a firm believer in consistency and continuous learning to achieve wisdom. She is currently learning the mathematical aspects of Data Science to build efficient Machine Learning models. She has an impressive educational background, having completed her Dual Degree in Integrated Software Engineering from VIT and is now pursuing her Master's degree in Information Systems from Northeastern University. Bhargavi's technical skills include Research Scientist, ML, AI, Data Scientist, Deep Learning, and Scala. With her relevant experience of over 3 years, she is a valuable asset to any organization looking to hire a skilled Research Engineer with a strong background in Data Science and Machine Learning.