{"m1":[],"m2":["resume_head","resume_name","resume_base_info","resume_skill","resume_hobby","8fd5a23b-7d2d-4eb1-be35-08fb7e7e0475","resume_summary"],"m3":["resume_job","resume_edu","resume_work","resume_honor","resume_internship","resume_project","resume_portfolio","43a87a7a-f016-4e77-bc26-a0eba956cc8b"],"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:${color}}
.resume_main[data_color] .resume_m3 .resume_item dt span.resume_item_title_span{background-color:${color}}
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姓名
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錘子簡歷
我們把付出很多卻得不到結(jié)果的日子叫做“扎根”!
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教育背景
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2010.09-2014.06
錘子簡歷大學(xué)
軟件工程
主修課程:馬克思主義理論、大學(xué)外語、高等數(shù)學(xué)、大學(xué)物理、物理實驗、線性代數(shù)、概率論與數(shù)理統(tǒng)計、程序設(shè)計語言、數(shù)據(jù)結(jié)構(gòu)、離散數(shù)學(xué)
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工作經(jīng)驗
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2017.01-至今
錘子簡歷公司
自然語言處理工程師
工作描述:
- 負責(zé)通過網(wǎng)絡(luò)爬蟲,提取事件三元組內(nèi)容,補充到知識圖譜;
- 比較 lattice 網(wǎng)絡(luò)和 BERT+BiLSTM 對問題中實體和屬性值識別;
- 建立實體和數(shù)據(jù)庫的相似度模型和語義相似度(CNN_ATTENTION+BILSTM)進行實體和數(shù)據(jù)庫的鏈接從而實現(xiàn)實體的消歧;
- 利用模糊匹配的算法進行拼音糾錯,建立拼音語料庫,基于給出的拼音通過編輯距離和相似度計算,列出前 5 個最優(yōu)結(jié)果;
- 配合相關(guān)部門人員,有效溝通協(xié)調(diào)問題,共同完成項目工作;
2014.06-2017.01
錘子簡歷公司
自然語言處理工程師
工作描述:
- 參與教育領(lǐng)域自然語言處理基礎(chǔ)平臺建設(shè),為搜索、推薦、問答、知識圖譜等應(yīng)用提供基礎(chǔ)技術(shù)輸出;
- 參與智能問答系統(tǒng)研發(fā)工作,研究基于領(lǐng)域知識庫和圖譜的深度學(xué)習(xí)問答系統(tǒng)研發(fā),打造智能的教育問答體系;
- 負責(zé)研發(fā)工作,包括自然語言理解、對話管理、生成等核心模塊的研發(fā),持續(xù)提升語義理解,多輪對話,文本生成技術(shù)等能力,打造對話即應(yīng)用的下一代智能產(chǎn)品;
- 負責(zé)配合其他同事解決問題,共同完成項目存在的疑難點;
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自我評價
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工作認真負責(zé)、專注。學(xué)習(xí)能力強;生活中積極樂觀、熱愛生活。集體榮譽感強,積極協(xié)作團隊完成工作;具有設(shè)計經(jīng)驗和現(xiàn)場經(jīng)驗,動手能力強;人生信條:勤思考,多實施。
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作品展示
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+(支持jpg/png格式,單張圖片不超過2M,最多支持添加8張圖片)
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其他
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- 技能:熟悉Linux開發(fā)環(huán)境、VM虛擬機和Docker部署;熟練掌握Python語言,了解c和java語言編程;熟悉Django Web框架和Scrapy爬蟲框架;熟悉Neo4j,MySql,MongoDB數(shù)據(jù)庫;熟悉使用TensorFlow深度學(xué)習(xí)框架;
- 語言能力:CET-6,有比較扎實的英語聽說讀寫能力;
- 興趣愛好:喜歡跑步,堅持每天晨跑一小時;每周會進行一次戶外垂釣;
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項目經(jīng)歷
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2018.01-2018.03
智能客服機器人
負責(zé)人
項目內(nèi)容:
- 小O 機器人由交互機器人和知識庫數(shù)據(jù)后臺組成,用于各互聯(lián)網(wǎng)渠道上自動處理客戶咨詢請求,結(jié)合語音識別、語義分析等技術(shù)將用戶輸入的語音或文字轉(zhuǎn)換成含義并搜索答案;
- 主要負責(zé)構(gòu)建基礎(chǔ)對話故事線、意圖識別模型、實體識別模型、填空式機器人對話模型、前臺 Flask 框架,實現(xiàn)前后端的對接;
- 提高服務(wù)效率、降低客服運營成本,集成知識庫智能迭代系統(tǒng),便于快速定制和維護知識庫內(nèi)容;