Curriculum Vitae
Rayhan Aziz Budiana
I am a recent Telecommunication Engineering graduate from Telkom University with IPK 3.62/4.00 (Cumlaude), and my academic journey is complemented by my active role as a Research Assistant at the Adaptive Network Laboratory, where I am involved in research on core networks I am proficient in both English and Indonesian (native language), with an EPRT score of 503/600 and an ECCT score of 3.50/4.00.<br /> <br /> My professional interests lie in DevOps, including areas such as Cloud Computing, CI/CD, Linux Administration, Server Management, and Network Administration. I have successfully applied these interests in my professional and academic experiences. As a Site Reliability Engineer (SRE) Intern at PT LEN Industri (Persero), I was responsible for supporting the team in maintaining and enhancing the reliability, scalability, and operational efficiency of critical technology systems and infrastructure. My core duties included actively monitoring system, application, and infrastructure performance to identify potential issues, anomalies, or bottlenecks, which involved analyzing logs, metrics, and tracing. I also contributed to the development of scripts and automation tools to streamline operational processes such as deployment, monitoring, or troubleshooting, aiming to reduce repetitive manual work and improve team efficiency. I participated in incident handling, conducting root cause analysis (RCA), and implementing long-term solutions, while also providing support in the management a
Agustus 2025
Telkom University
S1 • Teknik Telekomunikasi • IPK 3.62
Maret 2025 - Juli 2025
Site Reliability Engineer
PT Len Industri (Persero) • Magang
Merancang dan mengimplementasikan High Availability (HA) cluster menggunakan Pacemaker dan Corosync pada perangkat ARM-based BeagleBone Black devices dan VM untuk memastikan seamless failover dan minimal downtime.
Melakukan extensive failure scenario testing (e.g., power-off, service crash, link failure) untuk mengevaluasi system's fault tolerance dan recovery mechanisms.
Membangun dan memelihara infrastructure automation dan fault-tolerant services, dengan fokus pada system uptime, scalability, dan performance untuk edge-computing devices.
Melakukan reliability engineering tasks seperti system monitoring setup, incident response testing, dan continuous improvement of service stability di lingkungan production-like.
Juli 2024 - Desember 2025
Business Development
PT Angkasa prima teknologi • Magang
Mempelajari arsitektur VSAT dari sisi bisnis dan teknis.
Berkontribusi dalam riset dan analisis pasar untuk produk SeaHub SHT1101, berkolaborasi dengan Kementerian Kelautan dan Perikanan di Indonesia.
Mengelola hubungan dengan calon klien.
Berkontribusi dalam pengembangan proposal untuk kerja sama.
Mei 2025
Alibaba Cloud Certified Associate - Cloud Engineer
Alibaba Cloud • IACA13250500209482L
Sertifikasi ini memvalidasi kemampuan fundamental dan praktis saya dalam merancang, mengimplementasikan, dan mengelola solusi berbasis Alibaba Cloud. Saya memiliki pemahaman yang solid tentang layanan komputasi, jaringan, penyimpanan, dan database Alibaba Cloud, serta keahlian dalam mengoperasikan berbagai produknya secara efektif.
Media
Desember 2024
Alibaba Cloud Certified Associate - Big Data
Alibaba Cloud • IACA03241200184867L
Sertifikasi ini memvalidasi kemampuan fundamental dan praktis saya dalam bekerja dengan solusi Big Data di platform Alibaba Cloud. Ini membuktikan pemahaman yang solid tentang layanan Big Data Alibaba Cloud seperti Data Lake Analytics, MaxCompute, dan DataWorks, serta keahlian dalam mengelola dan menganalisis data dalam skala besar secara efektif.
Media
Juli 2024
Certificate of Completion - Bangkit 2024 (Cloud Computing)
Bangkit (Google-led academy) • BA24/GRAD/XXIV-07/C012D4KY0785
Berhasil menyelesaikan program Bangkit 2024 dengan spesialisasi Cloud Computing. Program ini membekali saya dengan pemahaman komprehensif tentang Google Cloud Environments, DevOps, dan Back-end Development, serta keterampilan dalam manajemen proyek dan kepemimpinan tim..
Juli 2025
Paper Publication - Predicting Alarm Performance in Optical Transport Networks Using LSTM-Based Deep Learning Models
IEEE • 979-8-3315-7375-1/25/$31.00 ©2025 IEEE
Berhasil mempublikasikan paper berjudul "Predicting Alarm Performance in Optical Transport Networks Using LSTM-Based Deep Learning Models" di IEEE, yang merupakan pencapaian signifikan di bidang riset dan inovasi. Paper ini berfokus pada pembangunan sistem prediksi fault berbasis AI untuk jaringan DWDM menggunakan model deep learning (LSTM, BiLSTM, dan LSTM-XGBoost). Proyek ini berhasil mencapai akurasi 94.45% dan F1-score 0.92.