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👋 Hi, I’m @Dane-Hunter
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👀 I’m focusing on
2023.03-至今: AI人工智能:自回归:预训练、SFT、RLHF「RW」、Alignment「DPO/PPO」、NLP、openrl/verl、Reasoning、hybrid reasoning、多模态大模型「多模态理解/多模态生成」等; 扩散模型& 应用算法:aigc、Stable diffsion/VAE/GAN、3D、nerf、3DGS、Agent、多Agent协同、 Agent RL、Rag/sft、loRA/QLoRA、搜推广、数据挖掘等 AI infra:AI编译、调度引擎、分布式训练(稠密模型 & 稀疏模型)、高性能计算、推理引擎;机器学习平台/深度学习平台、AI工程 2019.03-2023.03 Data数据: 数据湖、大数据平台|架构、引擎|组件、应用|数仓、数据产品开发、业务数据开发、数据仓库开发、数据治理... infra基础架构:湖仓一体、数据库(含中间件)、存储(块、文件、对象、kv等)、分布式计算、搜索|推荐|广告引擎 区域: 北京/上海/深圳/南京/杭州/成都 -- AI:LLM:Pre-train、SFT、RLHF、Alignment、NLP、MultiModal Model、Reinforcement Learning、Transformer、T5、Llama、ChatGLM、Baichuan、Qwen AIGC:Stable diffusion/Mid jourley/GAN/VAE、Recommend/Search/Ads Algorithm AI infra:AI Compiler, Scheduling Engine, Distributed Training (Dense Models & Sparse Models),HPC, Inference Engine; DL/ML plantform, AI Engineering -- Data:Lakehouse/Data lake/EMR/Data engineer/Hadoop/Spark/Flink/OLAP【Apache Doris、Select DB、Doris DB/StarRocks、clickhouse、impala、presto analytic DB、hologres、impala、kudu、presto】& HTAP【TiDB、PolarDB、Oceanbase、GuassDB...】 -- infra:Lakehouse/Database kernel | storage(Block storage、OSS、HDFS、Ceph、KV)| ES、search | recommend | ads engine Level: Director/ Mid Leader/ Developer to Senior Manager Locations: Beijing, Shenzhen, Hangzhou, Shanghai, Chengdu ...
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🌱 I’m currently learning how to use Github to find my candidates efficiently...
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💞️ I’m looking for collaborate on Candidates who are looking for new openings...
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📫 How to reach me:WeChat:TY2290...
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