At Beti LLC, I designed and deployed computer vision pipelines for real-time image processing and enhancement. I fine-tuned YOLO-based detection models for live video and developed segmentation and OCR solutions.
On my AI Highway Safety & Incident Detection Platform, I trained YOLOv8s and built a pipeline for near-miss alerts and other driving incidents. I validated its alert thresholds against 8,305,244 real vehicle observations and deployed the platform on GCP.
Earlier, I built machine learning models for fraud detection and transaction anomaly analysis at Interswitch Group, and taught Python and applied machine learning at Cross River State University of Technology. I hold an M.S. in Computer Science with an AI & Data Science concentration and am an AWS Certified Solutions Architect – Associate.
