On-Device AI Proposal Scorer
Built an on-device AI proposal-review tool that reduced estimated review effort from 126 hours to 8, with source-linked scores and protected documents kept local.
Stanford Mechanical Engineering student pursuing a Computer Science minor · Expected June 2029
Software & Applied AI
On-device AI and planning tools built at Southern California Edison. Explore how I turned proposal documents and schedule data into useful review workflows.
Seeking mechanical engineering, robotics, software, and applied AI internships and co-ops.
- Python and local AI pipelines
- Retrieval, scoring, and evaluation
- Data normalization and integration
- Reviewer workflows and failure visibility
Project case studies
My contribution
I built the on-device Python workflow, from document preprocessing and retrieval through scoring and the reviewer interface.
Outage Coordination Platform
Connected outage planning data in Power Apps and Power BI to screen 72 outages and flag 30 potential schedule conflicts for project teams to review.
My contribution
I built the data workflow and review interface connecting Primavera P6, SharePoint, Power Apps, and Power BI.
Explore the other side of the work