{"m1":[],"m2":[],"m3":["resume_head","resume_name","resume_base_info","resume_job","resume_edu","resume_work","resume_hobby","resume_skill","resume_summary","resume_honor","resume_internship","resume_project","resume_portfolio","7247a352-d7e5-46d4-9761-c70503d05d8e","3f3535c6-bfe5-468e-b7d1-688225190892"],"m4":[]}
.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};}
.resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;}
.resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; }
/* ������ */
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}
.resume_main[data_color] .default_item_html svg path:last-child{fill:${color};}
.resume_main[data_color] .default_html svg path{fill:${color};}
.resume_main[data_color] .default_item_html svg path:first-child{stroke:${color};}
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姓名
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锤子简历
万众狂欢时懂得沉默,一片寂静时挺身而出。
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教育背景
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2009.09-2013.06
锤子简历大学
软件工程
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工作经验
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2017.04-2019.11
锤子简历公司
自然语言处理工程师
- 负责公司消费者数据分析平台自然语言处理算法模块的研发,如未登录词识别、文本分类、情感、语义分析等算法模型的训练、测试;
- 追踪最新的处理技术,关注业界前沿,并尝试将技术热点应用落地,优化平台算法模型;
- 开发处理算法基础图形界面工具,提供数据分析师使用,提高分析能力和效率;
- 落地产品解决方案,并进行效果调优, 发布相关产品,不断迭代产品效果;
- 针对自然语言处理中遇到的问题进行分析,并总结规则提出解决方案,同时进行应用方面的调研;
2015.01-2017.03
锤子简历公司
自然语言处理工程师
- 负责自然语言理解(NLU)研发工作,包含意图识别、实体抽取等;
- 负责语音语义场景应用数据及效果闭环,优化提升线上效果;
- 负责语料收集、挖掘训练工作,提升质量及效率;
- 参加定期培训,尝试新的算法,持续不断学习新技术,拥有宽广的技术视野;
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作品展示
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+(支持jpg/png格式,单张图片不超过2M,最多支持添加8张图片)
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其他
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- 技能: 熟悉自然语言处理、机器学习、深度学习等常用算法, 熟练使用自然语言处理、机器学习开源工具和深度学习框架,主要使用C++;精通Python/JAVA,有扎实的代码功底和实战能力;精通MATLAB、R语言等科学计算语言;精通多元统计分析的各种算法、模型;
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项目经历
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2018.01-2018.03
文本分类等模型图形用户界面工具
- 开发词向量、文本分类等基础模型,帮助数据分析师在各领域项目中自主处理语料,提高工作效率;
- 研发基于结巴分词工具和 fasttext 算法 C++版本的文本分类接口,使用 QT Creator开发图形用户界面工具,训练食品、母婴等行业领域的词向量;
- 使用 wxpython 开发训练词向量、二元短语结构识别、未登录词识别等模型的 GUI,测试、发布工具以及后续的用户反馈与优化;