Mumbai, Maharashtra, India
I am a final year student pursuing a Dual Degree in Electrical Engineering with a Minor in Data Science and Artificial Intelligence at the Indian Institute of Technology Bombay. With a strong foundation in AI, machine learning, and computational optimization, I have contributed to impactful projects such as enhancing question answering LLM chatbot, Text-to-Speech(TTS) models for naturalness and efficiency, developing artifact detection pipelines for AI-generated content, and implementing advanced algorithms for robust AI systems. My professional experiences include interning at Attentions.AI, where I drove advancements in personalized TTS systems, and worked on AI agents. I bring a results-driven mindset to challenging environments, fostering innovation, collaboration, and continuous learning.
As a solution to the problem Statement: • Our team designed a robust pipeline to classify real and AI-generated images, achieving high accuracy through DenseNet121 and MobileNetv3 models. • We developed an artifact detection framework leveraging Vision-Language Models (Qwen2-VL) and hierarchical Tree of Thoughts taxonomy for detailed interpretability. • We also fine-tuned models using Quantized Low-Rank Adaptation (QLoRA) to ensure efficient and scalable performance on diverse hardware. • Additionally, enhanced robustness against adversarial attacks by integrating defenses like FGSM and PGD into the training pipeline.