Professional Overview
I am a passionate AI and machine learning enthusiast with hands-on experience in computer vision, natural language processing, and prompt tuning for multimodal models. With a strong foundation in Python, PyTorch, and tools like Streamlit, I’ve led innovative projects ranging from zero-shot image classification to real-time abbreviation detection using BERT and RoBERTa. My experience includes a data science internship and teaching roles, where I demonstrated both technical depth and communication skills. I thrive in collaborative environments, adapt quickly to new challenges, and bring a research-driven yet practical approach to building scalable AI solutions.