About Me

A proficient software engineer with a diverse background across various technology domains. Expert in full-stack development using Golang and React, with comprehensive DevOps experience, I specialize in building and maintaining robust, high-demand systems.

Prior to my current role, I served as a Site Reliability Engineer at Sea Ltd. My responsibilities included developing internal platforms that greatly reduced manual work and adopted by the entire software engineering team, and ensuring the seamless performance of our services, and troubleshooting a variety of machine and network issues.

Outside of work, I enjoy a sprinkle of outdoor activities, including trekking, table tennis, and board game activities. Moreover, I am deeply committed to giving back to the tech community by volunteering as a mentor for aspiring engineers. There's a unique satisfaction in guiding others on their path and seeing them overcome hurdles and grow in their skills.

View My Resume (PDF)


Jakarta, Indonesia

  • Conducted extensive root cause analysis on a microservices architecture with over 1,265 services, resolving issues at various levels and ensuring optimal system performance.
  • Developed and deployed internal platforms that automated operations, enhancing productivity and reducing manual tasks for the entire software engineering team.
  • Executed service capacity analysis prior to campaigns, effectively managing service availability for millions of concurrent users and delivering a seamless user experience.

Jakarta, Indonesia

  • Leveraged extensive technical knowledge to 5 different teams, providing strategic guidance on application architecture design, development planning, and optimization of machine learning model deployment and training.
  • Successfully led one team to achieve a top 20 project ranking, standing out amongst 500 other teams, by navigating complex challenges and implementing effective solutions.

Jakarta, Indonesia

  • Developed a scalable and efficient REST API backend application using Django, resulting in improved performance and enhanced user experience.
  • Implemented automated testing processes, resulting in reduced bug occurrences, and increased overall system stability.

Yogyakarta, Indonesia

  • Led a team of engineers in securing substantial funding from Google and the Ministry of Education, an honor bestowed to only 15 teams from over 3000 competitive participants.
  • Constructed and optimized CNN models for detecting chainsaw sounds using real-world datasets, implementing hyperparameter tuning and regularization techniques.
  • Designed and implemented scripts to create a chainsaw sound database, leveraging public datasets and YouTube APIs, resulting in a time efficiency gain of 90% by streamlining data acquisition and preprocessing


Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka

American Astronautical Society (AAS)

My Project



Powerful, intelligent flash cards made specially for language learning





Jagawana is an advanced system utilizing IoT and Machine Learning to detect chainsaw sounds from audio record, aiming to prevent illegal logging.

Audio Signal Processing



Google Cloud