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raynaldooms

Raynaldo M K

@raynaldooms

Backend Engineer Data and AI Integration Specialist

Indonésie
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

r
raynaldooms
Raynaldo M K
hors ligne • 

Voir mes services

API & Intégrations
I will build python data pipeline automated etl and database architecture
De15 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Nikon

Backend and Fullstack Developer

Nikon • Freelance

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. • Temps plein

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.