AI & Data Science undergraduate with hands-on experience designing end-to-end machine learning systems, computer vision pipelines (using OpenCV, PyTorch, and TensorFlow), and LLM-powered applications (LangChain, RAG, OpenAI APIs). Proficient in data preprocessing, model optimization, and deployment using FastAPI, Docker, and cloud platforms (AWS/GCP). Passionate about translating complex algorithms into scalable, production-ready solutions that address real-world challenges—from automated visual inspection to intelligent document processing. Seeking opportunities to engineer robust AI systems that drive measurable impact in dynamic, cross-functional environments.