Summary
Srilakshmi Alla is a Senior Data Scientist with eight years of experience applying signal processing, machine learning, and deep learning to clinical and biotechnological time-series data. She has built production-grade pipelines and validated algorithms for wearables (accelerometer, ECG, PPG) to deliver sleep, gait, respiration and actigraphy metrics, and has led LightGBM mortality/severity models for an NIH sepsis project. Her background spans cross-functional R&D—developing CNN classifiers for NGS signals, Infinite HMMs for single-molecule kinetics, and graph-signal-based gait biomarkers—bridging lab experiments to deployable software. Trained in digital signal processing (M.S., San Diego State), she combines rigorous research methods with practical tooling (Python/MATLAB, MySQL, web interfaces) to accelerate translational outcomes. Notably, she has translated complex physiological signal insights into clinical-grade metrics across multiple device platforms.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Bhoj Reddy Engineering College For Women (JNTUH)
Master’s Degree Digital Signal Processing, Master’s Degree Digital Signal Processing at San Diego State University
English, Hindi, Telugu