I'm a Master's student at Columbia Engineering, deeply passionate about Machine Learning, Computer Vision, and Natural Language Processing. My journey in tech has been shaped by hands-on experiences at Adobe and Columbia University, where I’ve developed expertise across the ML lifecycle - from designing model training and inference pipelines to low-level CUDA programming and cloud deployment with AWS.At Columbia, I’ve been fortunate to work in the ARISE Lab and the AI4VS Lab, where I focused on fine-tuning semantic-aware code LLMs and developing machine learning models to detect signs of Age-related Macular Degeneration (AMD) from gaze data on B-scans, respectively. Additionally, as a Teaching Assistant for Projects in Advanced Machine Learning in the Quantitative Methods in the Social Sciences department at Columbia, I lead recitations and support students in mastering advanced ML techniques.During my tenure at Adobe, I honed my skills as a Software Development Engineer, leading significant projects that integrated advanced AI models to enhance digital asset management. Currently, as a part-time Software Engineer Intern at Rubicon Robotics, I am developing computer vision algorithms for swimmer detection and posture analysis and building custom annotation tools and data pipelines to support model training.I thrive at the intersection of research and industry, constantly seeking innovative solutions that drive technology forward. As I approach graduation in December '24, I am actively seeking full-time opportunities where I can leverage my skills and passion for impactful projects. Let's connect and explore how I can contribute to your team!