Cold mailing and reaching out to over 2000+ sports companies for sponsorship in a fest with over 30+ colleges participating. Managed the Branding and Marketing vertical in BOSM 23 by ensuring that all demands of companies in MoUs are satisfied.

Implemented and fine-tuned a DenseNet121 model in PyTorch to classify lung X-ray images from the Pneumothorax dataset, optimizing using Adam and Cross-Entropy Loss.Evaluated performance with metrics such as Accuracy, Sensitivity, Specificity, Precision, AUC-ROC, and Confusion Matrix.Implemented image segmentation using a U-Net architecture with an EfficientNet_bo encoder for lung X-ray analysis.Engineered a Vision Transformer (ViT) for medical image classification, utilizing self-attention and patch embeddings for efficient image analysis.

Designed an AR application in Unity for real-time 3D plane detection and precise distance measurement using Android camera sensors.Worked on integrating Llama 7.2b LLM with unity, in order to respond to questions typed in unity.