Working in distributed Bidding team. Working on Data Pipeline .Integrating new features across the Data pipeline . Deploying large scale ML models. Conducted regression testing . Skills: ·PySpark · Apache Oozie · Go · Java · SQL · Apache Spark · Google Cloud Service · Machine Learning

•Object segmentation was carried out using YOLO, and ResNet, VGG16, ViT, and Swin models were fine-tuned using Hugging Face and PyTorch to achieve 96.2% accuracy.•Transformer models and Google's MediaPipe were used for keypoint detection, and the VitPose model was implemented for using vision transformers on keypoint detection tasks, achieving 98.7% accuracy.