Aug 2023 – May 2024 · 9 mos · Singapore · On-site

• TikTok Live Revenue Team
• Reduce CPU resource usage by 20% through optimization techniques targeting regex, JSON parsing,
• and deep copy operations. This resulted in substantial savings of over 2000 CPU cores, significantly
• optimizing infrastructure efficiency.
• Technical owner for the Gift Highlight feature, leading to a notable 15% increase in revenue for top-tier
• anchors.

May 2023 – Jul 2023 · 2 mos · Singapore, Singapore · On-site

• Referential Data Team

Jul 2022 – Mar 2023 · 8 mos · Singapore, Singapore · On-site

• Salary Team
• Built a data pipeline that processes millions of job posting records to increase salary transparency
• coverage by 50% using Presto, PySpark, AWS, and DynamoDB.
• Successfully redesigned the DynamoDB schema, resulting in a cost reduction of up to 95% and
• significantly improving service latency. Reduced the P99 service latency from 2 seconds to less than 50
• milliseconds.
• Effectively served as a tech lead, providing mentorship to two mentees, overseeing task planning,
• preparing the team's roadmap, and streamlining processes, while successfully improving service
• availability and enhancing overall system stability.

Jan 2022 – Jun 2022 · 5 mos

• ShopeePay Team

Jul 2020 – Jun 2022 · 1 yr 11 mos

• Payment Inbound Team
• Integrating payment channels in multi-region to Shopee's Ecosystem
• Improve Shopee's payment system throughput and reliability
• Technical design, code review, mentoring

Feb 2019 – Jul 2020 · 1 yr 5 mos

• Marketplace Payment Team
• Responsible for Shopee's marketplace system
• Migrated Shopee's legacy marketplace system from Python to Go and achieve more than 30% improvement in speed
• Code review, mentoring, technical design

Jun 2018 – Aug 2018 · 2 mos · Greater Jakarta Area, Indonesia

• Accomodation Pricing Team

Jan 2018 – Feb 2018 · 1 mo · Jakarta, Jakarta, Indonesia

• Improve admin tools
• Learn about recommendation system

Jun 2017 – Aug 2017 · 2 mos · Jakarta, Jakarta, Indonesia

• Work in logistic team make website displaying recommendation for shipping schedule for every city and reduce our peak and lowest delivery gap from more than 2x to less than 1.5x using greedy approximation algorithm.
• Work in marketing team to make sales recommendation for each city based on population density.
• Stack: Python (Django), ReactJs, Redux, Sagas, Redis

Jan 2017 – Sep 2017 · 8 mos · West Java, Indonesia

• Lead team consists of 10 people to develop various tools that used in CompFest 9 event
• Rebuild our Coming Soon (our portfolio website), Main website, and Playground system tech stack using React.Js, Django, Postgresql, etc
• Help other divisions to analyze our registrar behaviour

Aug 2016 – Dec 2018 · 2 yrs 4 mos · University of Indonesia

• Help professor with recordkeeping, such as tracking attendance and calculating grades, making problem set, etc

Jun 2016 – Aug 2016 · 2 mos · Jakarta

• Improve services and user interface to empower Dekoruma website

Feb 2016 – Feb 2017 · 1 yr · Jakarta, Jakarta, Indonesia

• Learns about mobile application development and technology, also participate in mobile application competition and hackathon

Jan 2016 – Feb 2016 · 1 mo · Jakarta, Jakarta, Indonesia

• Implement kaskus chat image compression and video compression using Android Bitmap for image and Android transcoder for video and success reducing image size from 1-2 MB to less than 150KB with 50% compression ratio with acceptable quality.