class ImHuay:
    email = '[email protected]'
    location = 'Shanghai, China'

    experiences = [
        {'company': 'Pinduoduo / TEMU', 'title': 'Senior Algorithm Engineer', 'period': '2022.12 ~ 2025.06'},
        {'company': 'Shopee / O2O', 'title': 'Senior Algorithm Engineer', 'period': '2022.06 ~ 2022.09'},
        {'company': 'Meituan-Dianping / NLP Center', 'title': 'Algorithm Engineer (L6)', 'period': '2019.01 ~ 2022.06'},
    ]

    researches = {
        'Deep Learning': {
            'backends': ['PyTorch'],
            'directions': ['Representation Learning', 'SFT/RLHF', 'Multi-Agent Systems'],
            'models': ['Transformer', 'BERT/DeBERTa', 'LLaMA/MoE'],
            'next': ['Function Calling & MCP', 'Generative Data Augmentation'],
        },
        'Natural Language Processing (NLP)': [
            'Sentence Embedding',
            'Text Classification / Sentiment Analysis',
            'Similarity Computation',
            'Information Extraction',
            'NER & Entity Linking',
        ],
    }

    projects = [
        {'name': 'Search Relevance Optimization', 'methods': ['RLHF', 'Multi-Agent Systems']},
        {'name': 'Sensitive Content Detection', 'methods': ['SFT', 'Generative Data Augmentation']},
        {'name': 'Synonym Query Mining', 'methods': ['Graph-based Expansion', 'SimCSE']},
        {'name': 'Universal NER', 'methods': ['Schema-driven NER', 'Semantic Matching']},
        {'name': 'User Content Profiling', 'methods': ['MRC-style Aspect Extraction']},
    ]