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Yagiz DanaciYD
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Yagiz Danaci

@yagizdanaci

Full-stack developer at Insider who delivered 100+ partner integrations and cut production issue resolution to under 8 hours.

Turkey
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At Insider, I delivered 100+ partner-specific integrations and reduced average production issue resolution from 2 days to under 8 hours. I also optimized Go services and shipped lightweight frontend code.

At isanahtari.com, I led frontend development of a Next.js and React application and built reusable components. At Sensgreen, I built React dashboard features and backend APIs, including a 3D floor plan viewer for building sensor data.

Experience

Work history, roles, and key accomplishments

MO

iOS Developer Intern

Mobillium

Sep 2023 - Jan 2024 (4 months)

Built an iOS application with MVVM-R architecture, SOLID principles, and SwiftLint, using GitFlow on Bitbucket.

OC

iOS Developer Intern

OBSS CodeCamp

Jul 2023 - Aug 2023 (1 month)

Completed an iOS bootcamp on UIKit and core iOS principles, finishing with a mentored project.

SE

Fullstack Developer

Sensity

Oct 2022 - Jan 2023 (3 months)

Implemented and improved website dashboard features with Vue, CSS3, and Sass, refactoring the user dashboard to current UI/UX practice. Fixed bugs and refactored code, decreasing load times by 70%.

SE

Fullstack Developer

Sensgreen

May 2022 - Oct 2022 (5 months)

Built React dashboard features including a 3D floor plan viewer and air-quality reports with FastAPI. Developed backend APIs on PostgreSQL with Python and Node.js, and migrated the backend to FastAPI for 60% more efficiency.

SE

Fullstack Software Developer Intern

Sensgreen

Jun 2021 - Sep 2021 (3 months)

Built a Node.js/Express service comparing PostgreSQL data with Redis, a Vue.js single-page app on top of it, and Swagger API documentation.

Education

Degrees, certifications, and relevant coursework

Bilkent University logoBU

Bilkent University

BSc, Computer Technologies and Information Sciences

2020 - 2025

Activities and societies: Senior project: RenAIsound, a transformer-based music generation model fine-tuned on a large MIDI dataset (Python, TensorFlow, Keras).

BSc in Computer Technologies and Information Sciences. Senior project on transformer-based music generation.

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