Saicharan S

Develop size to performance ratio deep learning models. Develop and maintain core python Keyar algorithm package which is used to compute the maternal and fetal heart rate. Design efficient data loaders and data pipelines which consumes less memory. Developed separate machine learning backend using FastAPI which has reduced the core software team dependencies. Monitor the developed machine/deep learning models performing research studies in hospitals like Narayana Hrudayalaya, AIIMS (Patna, Jodhpur), KIIMS. Study and implement the research papers related to ECG, uterine contractions. Developed automated graphical data analysis report by using libraries like Plotly, Pandas, Seaborn which reduced the public health team time in use of SQL playground. Actively participate in hackathons to boost the company’s IP.