Built a GPT-style language model from scratch in PyTorch with custom BPE tokenizer, causal masking, multi-head attention, residual blocks, top-k sampling, and modular output heads.
Built a multimodal sentiment detection system that analyzes emotions from uploaded videos by combining facial expression recognition, voice tone analysis, and contextual understanding.