I am a graduate student at CMU, also an aspiring AI engineer equipped with strong hands-on skills in developing and deploying ML solutions, optimizing model performance, handling large datasets, and leading impactful projects. I am passionate about staying on top of the latest advancements in the field to deliver innovative AI engineering solutions.- Proficient Python Coder: Developed multiple end-to-end machine learning systems leveraging Python at L'Oréal and Ping An. Used Python for rapid prototyping and building production-ready ML pipelines.- Skilled Model Tuner: Improved model performance substantially through techniques like knowledge distillation and transfer learning during my internship at Ping An. Distilled bulky models into lightweight versions without losing accuracy.- Effective Data Wrangler: Architected distributed big data pipelines to process large datasets efficiently at XJTLU. Designed data flows using Spark, SQL and other tools to enable scalable data processing.- Cloud-Savvy: Built and deployed machine learning models at scale using AWS services including SageMaker, EC2 and others. Operationalized models seamlessly on the cloud.- Strong Leader: Spearheaded high-impact projects at XJTLU including decreasing data footprint by 63% and increasing model accuracy by 6% through techniques like adversarial validation.- Eager Learner: Continuously stay updated on latest machine learning advancements like Transformers, adversarial methods and other emerging techniques.