{"m1":[],"m2":[],"m3":["resume_head","resume_name","resume_base_info","resume_job","resume_edu","resume_work","resume_hobby","resume_skill","resume_summary","resume_internship","resume_honor","resume_project","resume_portfolio","672afe88-6ff0-47c3-bbb3-d0f4083e8f56","f79f9736-70f7-4472-923f-870f1bf68446"],"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:${color}}
.resume_main[data_color] .resume_item .resume_item_list_title span.time div{border-bottom-color:${color};}
.resume_main[data_color] .default_html svg path{fill:${color};}
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姓名
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錘子簡歷
一個愛學(xué)習(xí),知上進,善溝通,重細節(jié),懂感恩的人。
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教育背景
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2012.09-2016.06
錘子簡歷大學(xué)
軟件工程
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工作經(jīng)驗
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2018.01-2019.11
錘子簡歷公司
nlp自然語言處理工程師
- 負責(zé)應(yīng)用深度學(xué)習(xí)等算法做自然語言理解,對病歷做結(jié)構(gòu)化處理,識別自由文本中的概念、概念關(guān)系,將其轉(zhuǎn)化成 key-value 的結(jié)構(gòu)形式;
- 負責(zé)研究各類算法,深度學(xué)習(xí)、注意力模型,提高識別準確度和召回率;
- 負責(zé)文本對象的分類、語法/語義分析等,與應(yīng)用服務(wù)器開發(fā)工程實現(xiàn)算法在系統(tǒng)中的應(yīng)用;
- 基于現(xiàn)有業(yè)務(wù)的文本數(shù)據(jù),提升對話系統(tǒng)在多領(lǐng)域、場景下的體驗;
- 負責(zé)語義對話引擎的相關(guān)開發(fā),以及新技術(shù)和方向的研究;
2016.06-2017.12
錘子簡歷公司
nlp自然語言處理工程師
- 負責(zé)從事深度學(xué)習(xí)模型優(yōu)化算法的研發(fā)和產(chǎn)品化落地;
- 負責(zé)對深度學(xué)習(xí)模型進行裁剪、模型量化和模型壓縮等相關(guān)工作;
- 負責(zé)參與文本分詞、實體抽取、關(guān)系識別、語義理解等 NLP 相關(guān)模型的算法設(shè)計和優(yōu)化;
- 負責(zé)文本分類、語義理解、情感分析等 NLP 任務(wù)的研發(fā)工作,以及 NLP 算法系統(tǒng)的開發(fā)和優(yōu)化;
- 完成上級交代的其他相關(guān)工作,具備良好的編碼能力,數(shù)據(jù)結(jié)構(gòu)和算法功底;
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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: 熟練掌握python/java語言,熟悉主流計算平臺,扎實的編碼調(diào)試能力;熟悉TensorFlow等工具與框架;熟悉輕量化深度學(xué)習(xí)模型設(shè)計、剪枝、量化等;具有良好的溝通能力和邏輯思維能力;熟悉Linux開發(fā)環(huán)境;
- 語言能力: CET-6,有較好的英文聽說讀寫能力,能夠閱讀基本的英文技術(shù)文獻;
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項目經(jīng)歷
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- 有咖云搜 app 是利用大數(shù)據(jù)、人工智能、優(yōu)質(zhì)算法等核心技術(shù)搭建的內(nèi)容搜索平臺。它擁有全網(wǎng)社交平臺數(shù)據(jù)對接,通過人工智能、NLP 自然語言處理等核心技術(shù)分析素材,聚合了不同類型創(chuàng)意,為客戶提供全面、精準的內(nèi)容搜索;
- 負責(zé)需求分析,學(xué)習(xí)并了解項目業(yè)務(wù),分析項目需求點,運用多種測試用例設(shè)計方法,編寫測試用例;
- 負責(zé)與產(chǎn)品經(jīng)理進行用例評審,確保用例完全覆蓋項目需求,搭建測試環(huán)境并執(zhí)行完成功能測試,運用 monkey 進行 app 的可靠性檢測、network emulator 進行弱網(wǎng)測試;