Indra HarijonoIH
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Indra Harijono

@indraharijono

Experienced ML Principal Engineer specializing in scalable cloud solutions.

United States

What I'm looking for

I seek a challenging role in a collaborative environment that fosters innovation and growth.

I am a seasoned ML Principal Engineer with extensive experience in designing and implementing scalable, real-time machine learning-based IoT systems. My expertise lies in developing cloud-native applications using AWS and Azure, ensuring high availability and performance. I have successfully architected and deployed large-scale data pipelines and machine learning applications that handle massive datasets in real-time.

Throughout my career, I have demonstrated a strong ability to lead teams and mentor junior developers, fostering a collaborative environment that encourages innovation. My work at Stanford University involved creating advanced data ingestion systems for machine learning training, while my role at Acuity Brands focused on developing a robust data platform for IoT applications. I am passionate about leveraging technology to solve complex problems and drive business success.

Experience

Work history, roles, and key accomplishments

SM

ML Principal Engineer

Stanford University School of Medicine

Jun 2023 - Jan 2025 (1 year 7 months)

Designed and developed cloud-based ingestion systems for motion, EEG, and tracking signals into time series databases. Implemented scalable big data pipelines for machine learning training and created REST and GraphQL APIs for sensor device management.

Education

Degrees, certifications, and relevant coursework

Technical University of Berlin logoTB

Technical University of Berlin

Ph.D., Computer Science

1993 - 1999

Thesis: Integrated cooperating agents for teamwork. It described a new software approach based on networked Multi-Agent platform for solving complex problems. It proposed a method of breaking complex problems into smaller sub-problems, which could be distributed among agents via Internet network. The agent was designed and equipped with Distributed Artificial Intelligence (DAI) frameworks.

Technical University of Berlin logoTB

Technical University of Berlin

B.Sc/M.Sc, Computer Science

1993 - 1993

Activities and societies: Stefan Erwin Award for outstanding educational achievement.

Thesis: Multimedia Collaboration System (MMCS). It provided an advance concept for distributed multimedia conferencing and collaborative tools such as shared application, Multipoint Control Unit (MCU) and audio video conferencing. The thesis was prototyped and resulted in a distributed video conferencing system written in C/C++.

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