AI, ML, DL

Skills: Supervised and Unsupervised Learning, Neural Network Architectures, Model Evaluation and Hyperparameter Tuning, Transfer Learning, Feature Engineering, Natural Language Processing (NLP), Reinforcement Learning, Deployment of ML Models, Data Preprocessing, Ethics in AI.

Carnegie Mellon University | Intro to Deep Learning

Vision Transformer

Developed a Vision Transformer (ViT) from scratch for image classification and object detection tasks, experimenting with different datasets to evaluate performance.
Carnegie Mellon University | Speech Recognition and Understanding

Multi-Modal Feature Extraction

Developed a high-performance emotion recognition system that integrates audio and visual features through VGGish and EfficientNet-Lite, achieving robust and efficient emotion classification via transfer learning and feature fusion.
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Ramaiah Institute of Technology | Final Capstone Project

Drone Detection Using Deep Learning

Developed a Jetson Nano-based deep learning model for real-time drone detection, with a custom dataset to enhance UAV security in critical airspace.
Ramaiah Institute of Technology | Midterm Capstone Project

Rotational Equivariance of CNNs

Explored rotational equivariance in CNNs to enhance recognition of medical images with varying orientations, targeting improved robustness in critical diagnosis tasks.
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Sushmith Thuluva