Hello, I’m Aadarsha
My thesis used domain-adversarial learning to predict cognitive impairment from naturalistic driving data, work I completed while earning an M.S. in Computer Science at Washington University in St. Louis. I have hands-on experience across machine learning, data engineering, and full-stack development, gained through research, teaching, and industry internships, and I’m seeking software, data, or ML engineering roles.
- Languages
- ML & analytics
- Data systems
- Web & apps
- AI practice
- AI tools
- Agents & APIs
- Tools
For the full story on my research, teaching, and work experience, see my Experience page, or download my CV.
Featured Projects
- M.S. Thesis: Vehicle-Agnostic Driving Signatures — Compared six modeling approaches for predicting cognitive impairment from naturalistic driving data.
- Multimodal Alzheimer’s Prediction — Combined MRI imaging with clinical data for early Alzheimer’s disease detection.
- Datacenter Cooling Optimization — Applied deep reinforcement learning (DDQN, PPO, SAC) to optimize datacenter cooling efficiency.
- Tales We Weave — AI-powered interactive storytelling app with branching narratives, built with Vue 3, Express, and MongoDB.
Check out more on my Projects page.
Applied ML and Data Systems
I’m interested in roles and collaborations that turn applied ML research into reliable data systems, especially in health, mobility, and human-centered AI. Email me or review my CV for the full record.