class ImHuay:
email = 'imhuay@163.com'
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']},
]Total Time: 2 hrs 27 mins
Bash 45 mins >>>>>>>>----------------- 31.09 %
Other 45 mins >>>>>>>>----------------- 31.06 %
JSON 20 mins >>>---------------------- 13.80 %
Markdown 19 mins >>>---------------------- 13.08 %
fish 9 mins >>----------------------- 06.58 %-
Main Contributor/2019.03 ~ 2019.12/Algorithm CodingsInterview Notes