Implemented CNNs and DB-VAE for bias mitigation in facial detection systems.
Developed CNN architectures for facial detection and integrated a Debiasing Variational Autoencoder (DB-VAE) to reweight training samples. Improved fairness by increasing sampling for underrepresented facial features, reducing demographic bias in model predictions.
An evidence-based AI system using RAG to generate ATS-optimized resumes from GitHub and research dat...
AI-based gait analysis using deep learning and signal processing for motion understanding....
Character-level music generation using LSTM-based RNNs trained on symbolic music data....