[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-233138-105":53,"doc-detail-233138-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","maria-gabriel-oktia-yuliana-curriculum-vitae","Maria Gabriel Oktia Yuliana - Curriculum Vitae","","Maria Gabriel Oktia Yuliana is a technology professional with a background in computer science from Universitas Gadjah Mada and a research focus spanning machine learning and natural language processing. Her thesis investigates emotion detection in tweets for early suicidal behavior identification. She has led and delivered product and engineering initiatives at Qiscus, including team supervision, multi-product issue resolution, and feasibility studies for OpenAI integrations. She also built scalable back-end systems, improved test coverage, and managed hundreds of data pipelines with Apache Airflow.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/maria-gabriel-oktia-yuliana-curriculum-vitae/233138/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/maria-gabriel-oktia-yuliana-curriculum-vitae/233138.png","ImageObject",442,249,{"name":88,"@type":89},"Emma Wilson","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-10","2026-09-10",true,{"@type":98,"interactionType":99,"userInteractionCount":76},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is Maria Gabriel Oktia Yuliana’s educational background?","Question",{"text":108,"@type":109},"She studied BSc Computer Science at Universitas Gadjah Mada in Yogyakarta and completed a thesis titled “Emotion Detection in Tweet for Early Identification of Suicidal Behavior using Support Vector Machine and Multinomial Naive Bayes.”","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What research areas and projects has she worked on?",{"text":113,"@type":109},"Her research interests include machine learning and natural language processing. Projects include a face-recognition POC for attendance tracking using the LBPH method, building a university admission agent with Google NLU (Dialogflow), and performing social network analysis to identify KOL from Twitter data.",{"name":115,"@type":106,"acceptedAnswer":116},"What roles and achievements does she have in professional experience?",{"text":117,"@type":109},"At Qiscus, she has served as Technical Lead since 2021 and Backend Developer from 2020 to 2021, managing product development, supervising a team, integrating services like OpenAI into Robolabs, migrating CRM data to multi-tenant to reduce costs by 40%, and building scalable back-end architecture for Robolabs.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},233138,1790000289,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":79,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":73,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":9},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","MARIA GABRIEL OKTA YULIANA  \n[maria.gabriel.okta@gmail.com](maria.gabriel.okta@gmail.com)  \nEDUCATION  \nUniversitas Gadjah Mada, Yogyakarta, Indonesia BSc, Computer Science, July 2018.  \nThesis: “Emotion Detection in Tweet for Early Identification of Suicidal Behavior using Support Vector Machine and Multinomial Naive Bayes”  \nRESEARCH INTERESTS  \nMachine learning  \nNatural Language Processing  \nRESEARCH PROJECT  \nPangansari Utama Food Resources, Yogyakarta, Indonesia September 2023 to October 2023  \n● Create POC for face recognition to track employee attendance using LBPH method.  \nQiscus, Yogyakarta, Indonesia November 2020 to December 2020  \n● Built an agent for university admission using Google NLU platform, Dialogflow.  \n[Medcom.id](Medcom.id), Yogyakarta, Indonesia May 2019 to May 2019  \n● Performed Social Network Analysis to identify KOL based on specified keywords from twitter data.  \nPROFESSIONAL EXPERIENCE  \nQiscus, Yogyakarta, Indonesia  \nTechnical Lead, November 2021 to Present  \n● Planned product development together with Product Manager and Engineering Manager.  \n● Supervised the development processes conducted by a team of 5 engineers for Robolabs, CRM, and CSAT.  \n● Resolved issues related to multiple products (Robolabs, CRM, CSAT) while upholding the resolution time based on priority level.  \n● Performed a feasibility analysis for the integration of OpenAI and Azure OpenAI into Robolabs.  \n● Performed client CRM data migration from single tenant instance to multi tenant, resulting in a cost reduction of 40% .  \nQiscus, Yogyakarta, Indonesia  \nBackend Developer, November 2020 to November 2021  \n● Built a scalable backend architecture for Robolabs, a web application facilitating bot creation and deployment for non-technical users, resulting in up-to 100% reduction inman-hours.  \n● Performed a feasibility analysis for the integration of Dialogflow into Robolabs.  \n● Increased Robolabs’ test coverage into 75% and maintained the technical debt ratio \u003C=  \n0.2% .  \n[Medcom.id](Medcom.id), Yogyakarta, Indonesia  \nBackend Developer, October 2018 to Present  \n● Maintained and monitored over 300 data pipelines using Apache Airflow.  \n● Assist SRE team on cloud infrastructure migration.  \nDattabot, Yogyakarta, Indonesia  \nAndroid Developer, August 2017 to December 2018  \n● Built a health app that tracks user sleep activity.  \nDattabot, Yogyakarta, Indonesia Internship, January 2017 to May 2017  \nUniversitas Gadjah Mada, Yogyakarta, Indonesia  \nLab Assistant, Vector and Matrix Algebra, August 2015 to January 2016","cbCaimK10IAilaR8","https://ap.wps.com/l/cbCaimK10IAilaR8","pdf",77908,"English","# Education\n# Research Interests\n# Research Projects\n# Professional Experience","[{\"question\":\"What is Maria Gabriel Oktia Yuliana’s educational background?\",\"answer\":\"She studied BSc Computer Science at Universitas Gadjah Mada in Yogyakarta and completed a thesis titled “Emotion Detection in Tweet for Early Identification of Suicidal Behavior using Support Vector Machine and Multinomial Naive Bayes.”\"},{\"question\":\"What research areas and projects has she worked on?\",\"answer\":\"Her research interests include machine learning and natural language processing. Projects include a face-recognition POC for attendance tracking using the LBPH method, building a university admission agent with Google NLU (Dialogflow), and performing social network analysis to identify KOL from Twitter data.\"},{\"question\":\"What roles and achievements does she have in professional experience?\",\"answer\":\"At Qiscus, she has served as Technical Lead since 2021 and Backend Developer from 2020 to 2021, managing product development, supervising a team, integrating services like OpenAI into Robolabs, migrating CRM data to multi-tenant to reduce costs by 40%, and building scalable back-end architecture for Robolabs.\"}]","Maria Gabriel Oktia Yuliana - Curriculum Vitae | PDF",1789075980]