Meghana Rabba — Product Manager
Applied AI Engineer focused on building real world machine learning systems that integrate hardware sensing, real time data pipelines, and intelligent models. Experienced in developing computer vision and sensor driven ML workflows, including wearable sensing systems that stream and process biomechanical data from BLE enabled devices. Currently contributing to a research project affiliated with the Pritzker Institute of Biomedical Science and Engineering at Rush University, building real time data pipelines and processing architectures for continuous sensor data analysis. Skilled in designing end to end ML systems from data acquisition and preprocessing to model development and deployment using Python, PyTorch, TensorFlow, and modern ML tooling. Strong interest in applied AI systems that combine edge devices, sensor data, and scalable machine learning infrastructure to enable real world applications in healthcare, intelligent monitoring, and autonomous systems.
Stackforce AI infers this person is a Healthcare-focused AI Engineer with expertise in machine learning and data engineering.
Location: Chicago, Illinois, United States
Experience: 11 mos
Skills
- Machine Learning
- Data Engineering
- Software Development
- Information Security
- Data Structures And Algorithms
Career Highlights
- Expert in building real-time data pipelines for wearable technology.
- Strong background in machine learning and computer vision applications.
- Experience in developing robust software systems in healthcare.
Work Experience
Rush University Medical Center
Application Developer (3 mos)
Cook County Sheriff’s Office
Application and Development Intern (6 mos)
Illinois Institute of Technology
Teaching Assistant for CS458 :Introduction to Information Security (7 mos)
Teaching Assistant for CS331 :DataStructures and Algorithms (5 mos)
Education
Master's degree at Illinois Institute of Technology
Bachelor's degree at JSS Academy Of Technical Education Karnataka