{"id":7791,"date":"2024-10-09T14:01:42","date_gmt":"2024-10-09T11:01:42","guid":{"rendered":"https:\/\/insait.ai\/%d0%b5%d0%bc%d0%b8%d0%bb%d0%b8%d1%8f%d0%bd-%d0%bf%d0%b0%d0%b2%d0%bb%d0%be%d0%b2\/"},"modified":"2025-08-19T13:37:16","modified_gmt":"2025-08-19T10:37:16","slug":"emiliyan-pavlov","status":"publish","type":"page","link":"https:\/\/insait.ai\/bg\/emiliyan-pavlov\/","title":{"rendered":"\u0415\u043c\u0438\u043b\u0438\u044f\u043d \u041f\u0430\u0432\u043b\u043e\u0432"},"content":{"rendered":"<section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<p><strong>Data Scientist<br\/>\u0418\u043c\u0435\u0439\u043b: <\/strong><a href=\"mailto:emiliyan.pavlov@insait.ai\">emiliyan.pavlov@insait.ai<\/a><\/p>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<p><strong>\u0417\u0430 \u043c\u0435\u043d:<br\/><\/strong>\u0410\u0437 \u0441\u044a\u043c \u0415\u043c\u0438\u043b\u0438\u044f\u043d \u041f\u0430\u0432\u043b\u043e\u0432, Data Scientist \u0432 INSAIT. \u0424\u043e\u043a\u0443\u0441\u0438\u0440\u0430\u043d \u0441\u044a\u043c \u0432\u044a\u0440\u0445\u0443 \u0438\u0437\u043f\u043e\u043b\u0437\u0432\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0433\u043e\u043b\u0435\u043c\u0438 \u0435\u0437\u0438\u043a\u043e\u0432\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 (LLM) \u0438 \u043f\u0438\u043b\u043e\u0442\u0438\u0440\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0442\u0435\u0445\u043d\u0438\u0442\u0435 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u043a\u0430\u043a\u0442\u043e \u0432 \u043f\u0443\u0431\u043b\u0438\u0447\u043d\u0438\u044f, \u0442\u0430\u043a\u0430 \u0438 \u0432 \u0447\u0430\u0441\u0442\u043d\u0438\u044f \u0441\u0435\u043a\u0442\u043e\u0440. \u0421 \u043e\u043f\u0438\u0442 \u0432 \u043d\u0430\u0443\u043a\u0430\u0442\u0430 \u0437\u0430 \u0434\u0430\u043d\u043d\u0438\u0442\u0435, \u0441\u044a\u043c \u043f\u0440\u0438\u0434\u043e\u0431\u0438\u043b \u043e\u043f\u0438\u0442 \u0432 \u0438\u0437\u0433\u0440\u0430\u0436\u0434\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0440\u0435\u0448\u0435\u043d\u0438\u044f, \u0431\u0430\u0437\u0438\u0440\u0430\u043d\u0438 \u043d\u0430 \u0434\u0430\u043d\u043d\u0438, \u0438 \u043f\u0440\u0438\u043b\u0430\u0433\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0442\u0435\u0445\u043d\u0438\u043a\u0438 \u0437\u0430 \u043c\u0430\u0448\u0438\u043d\u043d\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u0432 \u0438\u043d\u0434\u0443\u0441\u0442\u0440\u0438\u0430\u043b\u043d\u0430 \u0441\u0440\u0435\u0434\u0430, \u043a\u0430\u0442\u043e \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440 \u0441\u0438\u0441\u0442\u0435\u043c\u0438 \u0437\u0430 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f \u043d\u0430 \u0433\u043e\u0440\u0435\u043d\u0435\u0442\u043e \u0432 \u043a\u043e\u0442\u043b\u0438.  <\/p>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<p><br\/>\u041c\u043e\u044f\u0442 \u043e\u043f\u0438\u0442 \u0432\u043a\u043b\u044e\u0447\u0432\u0430 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043d\u0430 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d \u0435\u0437\u0438\u043a (NLP), \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u0430\u043d\u0435 \u043d\u0430 \u0432\u0440\u0435\u043c\u0435\u0432\u0438 \u0440\u0435\u0434\u043e\u0432\u0435 \u0438 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u043e\u043d\u043d\u043e \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u0430\u043d\u0435. \u0423\u0447\u0430\u0441\u0442\u0432\u0430\u043b \u0441\u044a\u043c \u0432 \u043f\u0440\u043e\u0435\u043a\u0442\u0438, \u0438\u0437\u043f\u043e\u043b\u0437\u0432\u0430\u0449\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 \u0437\u0430 \u043c\u0430\u0448\u0438\u043d\u043d\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u0437\u0430 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u0438 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435\u0442\u043e \u0441 \u043f\u043e\u0434\u0441\u0438\u043b\u0432\u0430\u043d\u0435, \u0430\u043d\u0430\u043b\u0438\u0437 \u043d\u0430 \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f\u0442\u0430, \u043a\u0430\u043a\u0442\u043e \u0438 \u0446\u044f\u043b\u043e\u0441\u0442\u043d\u0438 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0437\u0430 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u043d\u0430 \u0434\u0430\u043d\u043d\u0438. <\/p>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<p><br\/><strong>\u041e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435:<br\/><\/strong>\u0422\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0410\u0439\u043d\u0434\u0445\u043e\u0432\u0435\u043d, \u0425\u043e\u043b\u0430\u043d\u0434\u0438\u044f \u2013 \u0431\u0430\u043a\u0430\u043b\u0430\u0432\u044a\u0440\u0441\u043a\u0430 \u0441\u0442\u0435\u043f\u0435\u043d \u043f\u043e Data science (2017-2020)<\/p>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section><section class=\"section default-block\">\n          <div class=\"container pb-30\">\n            <div class=\"row\">\n              <div class=\"post-content offset-sm-1 offset-md-1 col-xs-4 col-sm-6 col-md-10 \">\n                <div class=\"entry-content rtf wide\">\n                  \n<p><br\/><strong>\u041f\u0440\u043e\u0444\u0435\u0441\u0438\u043e\u043d\u0430\u043b\u0435\u043d \u043e\u043f\u0438\u0442:<br\/><\/strong>Sentient Autonomics \u2013 Data Scientist (2021 &#8211; 2024)<br\/>KG Intelligence \u2013 \u0421\u0442\u0430\u0436\u0430\u043d\u0442 \u0438\u043d\u0436\u0435\u043d\u0435\u0440 \u043f\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 (2020-2021)<br\/>\u0422\u0423 \u0410\u0439\u043d\u0434\u0445\u043e\u0432\u0435\u043d:<br\/>&#8211; \u0421\u0442\u0443\u0434\u0435\u043d\u0442 \u0430\u0441\u0438\u0441\u0442\u0435\u043d\u0442 &#8211; \u0418\u0437\u0432\u043b\u0438\u0447\u0430\u043d\u0435 \u043d\u0430 \u0434\u0430\u043d\u043d\u0438 (2019-2020)<br\/>&#8211; \u0421\u0442\u0443\u0434\u0435\u043d\u0442 \u0430\u0441\u0438\u0441\u0442\u0435\u043d\u0442 &#8211; NLP Data challenge (2019-2020)<\/p>\n\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n      <\/section>","protected":false},"excerpt":{"rendered":"<p>Data Scientist\u0418\u043c\u0435\u0439\u043b: emiliyan.pavlov@insait.ai \u0417\u0430 \u043c\u0435\u043d:\u0410\u0437 \u0441\u044a\u043c \u0415\u043c\u0438\u043b\u0438\u044f\u043d \u041f\u0430\u0432\u043b\u043e\u0432, Data Scientist \u0432 INSAIT. \u0424\u043e\u043a\u0443\u0441\u0438\u0440\u0430\u043d \u0441\u044a\u043c \u0432\u044a\u0440\u0445\u0443 \u0438\u0437\u043f\u043e\u043b\u0437\u0432\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0433\u043e\u043b\u0435\u043c\u0438 \u0435\u0437\u0438\u043a\u043e\u0432\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 (LLM) \u0438 \u043f\u0438\u043b\u043e\u0442\u0438\u0440\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0442\u0435\u0445\u043d\u0438\u0442\u0435 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u043a\u0430\u043a\u0442\u043e \u0432 \u043f\u0443\u0431\u043b\u0438\u0447\u043d\u0438\u044f, \u0442\u0430\u043a\u0430 \u0438 \u0432 \u0447\u0430\u0441\u0442\u043d\u0438\u044f \u0441\u0435\u043a\u0442\u043e\u0440. \u0421 \u043e\u043f\u0438\u0442 \u0432 \u043d\u0430\u0443\u043a\u0430\u0442\u0430 \u0437\u0430 \u0434\u0430\u043d\u043d\u0438\u0442\u0435, \u0441\u044a\u043c \u043f\u0440\u0438\u0434\u043e\u0431\u0438\u043b \u043e\u043f\u0438\u0442 \u0432 \u0438\u0437\u0433\u0440\u0430\u0436\u0434\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0440\u0435\u0448\u0435\u043d\u0438\u044f, \u0431\u0430\u0437\u0438\u0440\u0430\u043d\u0438 \u043d\u0430 \u0434\u0430\u043d\u043d\u0438, \u0438 \u043f\u0440\u0438\u043b\u0430\u0433\u0430\u043d\u0435\u0442\u043e \u043d\u0430 \u0442\u0435\u0445\u043d\u0438\u043a\u0438 \u0437\u0430 [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":7502,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-person.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7791","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/pages\/7791","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/comments?post=7791"}],"version-history":[{"count":0,"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/pages\/7791\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/media\/7502"}],"wp:attachment":[{"href":"https:\/\/insait.ai\/bg\/wp-json\/wp\/v2\/media?parent=7791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}