{"m1":[],"m2":[],"m3":["resume_head","resume_name","resume_base_info","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:${color}}
.resume_main[data_color] .default_html svg path,.resume_main[data_color] .resume_item dt .default_item_html svg path{fill:${color};}
.resume_main[data_color] .resume_item dt span.resume_item_title_span{background-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
GPA:3.72/4(專業(yè)前10%) GRE:324
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工作經(jīng)驗
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2018年3月 - 至今
錘子簡歷信息有限公司
深度學習
- 從檢測框的數(shù)據(jù)標注,數(shù)據(jù)增強、模型訓練,再到部署推理端,對機器進行深度訓練,提高系統(tǒng)部署效率38%,增提
用戶使用體驗、模型訓練精度持續(xù)提升19%,移動端側推理性能(推理時延、準確性)的極致提速23%
- 負責平臺級的檢測算法庫的構建,在精度,訓練速度多方面方面均領先業(yè)界水平,負責調研業(yè)界最新的各種trips來提
升模型精度和訓練性能,總體機器學習覆蓋面達到90%
- 利用現(xiàn)有的多種目標檢測和OCR模型進行重新訓練和測試實驗,為機器學習增添3個學習方案并落實,提高深度學習
效率39%,對比提高精準度和速度約一倍。
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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
深度學習
- 在知識庫上構建了富含實體、關系、概念的知識圖譜,為深度學習提供30項數(shù)據(jù)支持,建立了知識質量控制體系和檢
索體系,在病歷結構化產品中應用了基于正則表達式、基于統(tǒng)計、基于模型的實體識別,提高病例識別率30%
- 在肺炎、胃病理、骨齡、眼底病變等5個產品中應用了7鐘物體檢測框架和圖像識別編碼器,在體檢報告和處方產品
中,探索了基于深度學習的多模態(tài)模型和文本生成模型工7個,在涉及訓練激據(jù)生成的場景,提出了對抗學習的文本
判別方法,創(chuàng)新方法提高文本判定精準度39%。
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自我評價
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- 熟悉Tensorflow、pytorch等開源框架
- 熟悉常見深度學習算法模型,如VGG、ResNet、FasterRcnn、Yolo系列、U-nct等
- 熟悉常見機器學習算法:如K-menas、LR、SVM、GBDT、XGBOOST等
- 熟練掌握Python,使用numpy、pandas等科學計算庫及Opencv、PIL等圖像處理庫,精通arcgis和envi
- 本人對待工作踏實,認真,并且極富工作和團隊精神,因此在工作和生活中結交了許多朋友,具有良好的適應性和熟練的溝通技巧,相信能夠協(xié)助主管人員出色地完成各項工作。綜合素質佳,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)