I am a dedicated AI and Machine Learning Engineer with a strong technical foundation and hands-on experience in building scalable AI solutions. My core expertise lies in Computer Vision and Natural Language Processing (NLP), I am proficient in the full machine learning lifecycle, from data preprocessing and feature engineering to model deployment using Python, PyTorch, and Scikit-learn. Alongside my engineering work, I have a significant background in the AI Evaluation and Training field, specifically in RLHF and Function Calling verification. I have served as a lead reviewer for complex AI projects, ensuring model alignment, safety, and logical consistency. This dual experience gives me a unique competitive edge: I don't just build models; I understand them from the inside out. Working in AI training and evaluation has allowed me to view engineering from a different perspective—identifying edge cases, understanding user intent, and prioritizing data quality in a way that traditional engineering often overlooks. This holistic view ensures that the models I develop are not only technically sound but also highly aligned with real-world performance requirements.