Experience
Software engineering, AI systems, and infrastructure work across
applied projects and production environments.
- Develop computer vision pipelines using YOLOv8 and OWL for precision weed detection.
- Design and test real-time edge workflows using Raspberry Pi and Coral TPU hardware for field deployment.
- Integrate AI models, agricultural datasets, and spray-actuation hardware into an automated weed-control system.
- Developed AI-powered journaling features using Next.js, TypeScript, Tailwind CSS, and backend APIs.
- Built frontend components and dashboards for user growth tracking and conversational AI workflows.
- Collaborated in an Agile environment using Git, Figma, Trello, and Discord to deliver production-ready features.
- Maintained office computers, software, printers, and network systems to support reliable daily operations.
- Planned and assisted with the implementation of a NAS solution for centralized storage and file sharing.