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raynaldooms

Raynaldo M K

@raynaldooms

Backend Engineer Data and AI Integration Specialist

Indonesien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Backend Engineer focused on API architecture, database management, and data processing. Experienced in building and operating end-to-end data pipelines, from extracting raw industrial inspection data to integrating it into production-ready backend systems. Committed to writing clean, efficient, well-structured code, with an emphasis on maintainability and scalability.... Mehr lesen

Kompetenzen

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raynaldooms
Raynaldo M K
offline • 

Meine Dienstleistungen

API & Integrationen
I will build python data pipeline automated etl and database architecture
Ab15 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Nikon

Backend and Fullstack Developer

Nikon • Freiberufler

Jun 2025 - Present • 1 yr 3 mos

- Developed automated X-ray defect judgment system for an international industrial manufacturing client based in Thailand. - Spearheaded the backend, database, and system integration for an automated AI-driven industrial inspection project. - Architected the central PostgreSQL database schema and API layer to support real-time web monitoring and internal defect logging. - Integrated Industrial X-Ray radiography image evaluation logic into production-ready API pipelines for automated quality judgment.

Data Analyst and Backend Developer

Apparel Printing & Manufacturing – Screen Printing, Embroidery, DTF. • Vollzeit

Dec 2023 - May 2026 • 2 yrs 5 mos

Working for PT. Globalindo Intimates - Promoted to full-time staff handling dual responsibilities in Backend Engineering and Business Intelligence / Data Analytics. - Designed and deployed RESTful APIs for real-time garment production tracking (cutting to packing) with JWT authentication and Redis caching mechanisms. - Developed end-to-end Power BI dashboards using custom DAX measures to track machinery downtime metrics (MTBF, MTTR, Downtime Ratio) for preventive maintenance. - Create and optimized database queries through caching layers, reducing response times and query loads by over 70% for daily monitoring.