{"m1":["resume_head","resume_name","resume_base_info"],"m2":[],"m3":["resume_job","resume_edu","resume_skill","resume_work","resume_internship","resume_honor","resume_project","resume_portfolio","resume_school_info","resume_hobby","resume_summary"],"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:${color}}
.resume_main[data_color] .resume_content:after,.resume_main[data_color] .info_item .resume_item_list a.aiconfont{background-color:${color};}
.resume_main[data_color] .resume_item dl dt span.resume_item_title_span{border-color:${color};}
["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]
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基本信息
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姓名
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錘子簡歷
夢想每個人都有,但不是每個人都有勇氣去堅信,我有!
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教育背景
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2014.09 - 2018.06
錘子簡歷大學
計算機與信息技術(shù)
GPA:3.72/4(專業(yè)前10%)
GRE:324
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工作經(jīng)驗
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2019年12月 - 至今
錘子簡歷信息有限公司
算法研究員
- 優(yōu)化機器學習、自然語言處理、深度學習算法,通過算法研究實現(xiàn)3個模塊部分功能實現(xiàn):如近義詞生成、自動生成報告、搜
索排序等任務,3個功能為系統(tǒng)自動化提供了代碼支持,提商程序運行效率30%,減少人為操作工作量30%;
- 設計語言程型,用干語音識別給果的籍說,都助提升了語音識別效果,訓給并優(yōu)化分調(diào)檬型,欄型日1值達到96%,能夠?qū)τ袟l
的句子進行準確分詞。構(gòu)建命名體識別模型,模型F1值達到91%。能有效識別人名、地名、組織機構(gòu)名等實體用于智能門禁產(chǎn)品中、優(yōu)化意圈識別樣型,意困識別準確率達到98%,能夠準確識別客戶說話的意困;
- 使用pandas開發(fā)3個回測框架,對技術(shù)指標及其組合、網(wǎng)格交易進行回測與調(diào)優(yōu),使用趨勢指標改進傳統(tǒng)網(wǎng)格策略,基于VNPY
編寫,實盤優(yōu)于傳統(tǒng)網(wǎng)將,提高網(wǎng)格產(chǎn)蓋率30%,提高運行效率40%。
2018年3月 - 2019年12月
錘子簡歷科技有限公司
算法研究員
- 圖像增強處理,支持騰訊會議虛擬背景功能,訓練Unct結(jié)構(gòu)的小型實時人像分割網(wǎng)絡,在自建測試集上平均精度為98.6%,平均
精度為92.3%,實現(xiàn)代化多個方演用干提升分到穩(wěn)定性與體驗補果,調(diào)過生法手段設計,提高圖像處理穩(wěn)定性30%;
- 訓練平臺設計,訓綜集成比較流行的ImagcNet預訓練模型,打通數(shù)據(jù)平臺,提商數(shù)據(jù)轉(zhuǎn)化率50%以上,實現(xiàn)一鍵訓練與模型選代、集成部門內(nèi)在分類、檢測、配準、生成任務上的名種SOTA方法至平臺,相關(guān)樣太精度由72.9%提升至81.2%;
- 通過算法系統(tǒng)優(yōu)化為開發(fā)團隊賦能。包括網(wǎng)絡絡構(gòu)和訓練方法的優(yōu)秀訓練方法與模型、注立工作部門SOP,提商部門工作效率
34%,提升算法人員至少20%的開發(fā)速度,減低算法開發(fā)門檻,提商算法60%的開發(fā)速度,解決長尾需求。
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項目經(jīng)驗
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2021年3月 - 2021年11月
項目工程
算法研究員
- 利用MATLAB軟件對任意的采美困像進行預處理(對13個特征占進行加碼),消除假的特征占26個。利用圈像的動統(tǒng)和分叉占作為最終特征點,提取其特征點坐標和方向作為輸入向量。并和其他算法的輸出特征相比較。預處理增強效率商于其他輸出特征32%;
- 為解決控制系統(tǒng)不穩(wěn)定的問題,自行設計一種基于PLC的控制系統(tǒng),以可編程控制器PLC作為設備控制器,通過OPC與加速器
控制系統(tǒng)通用軟件Iabuicw結(jié)合,提商軟件控制穩(wěn)定性32%,得到的數(shù)據(jù)經(jīng)過PID相關(guān)算法優(yōu)化,伏化后數(shù)據(jù)尺寸縮小43%,精準分類率提高13%。
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自我評價
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本人有電工進網(wǎng)作業(yè)許可證,對待工作踏實,認真,并且極富工作和團隊精神,因此在工作和生活中結(jié)交了許多朋友,具有良好的適應性和熟練的溝通技巧。綜合素質(zhì)佳,能夠吃苦耐勞,忠誠穩(wěn)重堅守誠信正直原則,感謝您在百忙之中閱覽我的簡歷,靜候佳音!
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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)