Machine Learning Engineer at Solena

Designed and deployed GenAI agents on AWS to automate project tracking and report generation, streamlining workflows and reducing manual effort. Developed an AI email agent to track uploads and notify managers of completion, improving communication and accelerating reporting cycles. Built a report-writing AI agent to generate full research reports from AWS project data, improving efficiency and ensuring consistent documentation.

Machine Learning Engineer at Solena

Developed a YOLO-based model leveraging instance segmentation and object detection to identify diseases in fungi and leaf datasets, achieving 74% accuracy and advancing agricultural disease diagnosis. Automated data labelling and instance segmentation with Meta’s Segment-Anything Model (SAM), cutting processing time and boosting accuracy both by 20% each. Improved CNN accuracy with data augmentation and analyzed fungal biocontrol using post-prediction methods.