Raymond Christopher Sitorus

Co-Founder and CTO at Delman | Forbes 30 under 30 Indonesia & Asia 2021

Indonesia

About

A mathematician by heart, software engineer by training and an inspired data scientist. Join me and others in tackling the fast-growing Big Data problems in Indonesia. I'm also passionate in talking about educational issues and discussing corresponding (tech or non-tech) solutions, especially in the scope of K-12.

Experience

  • Software Architect at GDP Labs
    Jun 2024 - Present · 2 yrs 2 mos

    Building GDP Labs' Agentic AI platform and internal agent ecosystem. • Designed the platform and Agent SDK used by 100+ engineers to build and deploy AI agents • Helped create hundreds of agents for internal automation and enterprise chatbot products • Built systems that connect agents with business tools, workflows, and operational data • Focused on making agents useful in real operations: easy to build, reliable to run, and flexible across use cases

  • Founder and Chief Data Officer at Delman.io
    2018 - Present · 8 yrs 7 mos

    We are an Indonesian start-up working in the field of Big Data Engineering & Analytics. We believe that every company has unique business problems; ergo we thrive to assist our clients by easily processing data and extracting valuable insights via our smart platform. For more information about our vision and current projects, please contact [email protected]

  • Software Engineer at Google
    Aug 2017 - Oct 2018 · 1 yr 3 mos

    Software Engineer on the Display Ads team. Worked on experiments and product improvements for interest-based advertising systems. Explored new feature ideas, built and monitored experiments, and contributed to launches that improved ad quality metrics such as CTR and CPM. This role gave me hands-on experience with large-scale production systems, experimentation, and data-driven product development inside one of the world's largest engineering organizations.

  • Software Engineering and Data Scientist Intern at LiveRamp
    Sep 2016 - Mar 2017 · 7 mos

    Worked across software engineering and data science projects involving large-scale data processing and identity matching. Built Java applications that processed data at petabyte scale on Hadoop clusters, worked with enterprise engineering tools and workflows, and contributed to product specification and implementation work. On the data science side, explored supervised learning models for identity matching and built a tuned random forest model that improved naive matching rates by more than 10%.

  • Competitive Math Curriculum Developer at Afficient Academy
    Jan 2015 - Aug 2015 · 8 mos

    Designed and taught a competitive math curriculum for high school students preparing for AMC 10/12 and AIME. Helped launch the program as an instructor, developing materials for advanced students and teaching problem-solving techniques for math competitions.