Nikita S.

Nikita S. is an AI & ML Engineering Student at Dronacharya College of Engineering, specializing in Machine Learning, Deep Learning, and Time-Series Analysis. She has robust experience in developing AI models, as demonstrated by her project on ECG arrhythmia classification using a CNN-LSTM model, achieving a mean AUC of 0.985. Her work optimizes predictive accuracy through methods like focal loss and SMOTE to manage data imbalance. In her ongoing venture with MedAssist AI, she is creating a multi-agent system leveraging FastAPI and Google Cloud technologies. She also manages tasks at the transport layer with a Secure Authentication Gateway, employing mutual TLS and X.509 chain validation. Moreover, her internship as a CloudIntern at Cyancannode showcased her skills in automating system tasks via Bash scripting and cron jobs, enhancing system reliability and security. Nikita is proficient with several tools and languages, including Python, R, and PyTorch, and remains committed to broadening her expertise in the technology domain.