Muchamad Jalil is a Full-Stack Engineer with 11 years of experience building scalable web, cloud, and IoT systems using React, Node.js, Go, and Python. He has delivered AI-driven and distributed solutions for international clients at NRI, from LLM-powered project-tracking and ad-generation tools to automated exam scoring and retail forecasting systems. His background in robotics (ROS2) and competition-winning humanoid teams, plus award-winning healthcare AI research, gives him a rare blend of embedded systems, real-world robotics, and applied machine learning expertise. Comfortable across cloud platforms (GCP/AWS/Azure) and CI/CD/Terraform pipelines, he translates research-oriented ideas into production-grade services. Based in East Java, he’s currently expanding his impact at SPX Express while continuing to explore intelligent automation and multi-agent LLM workflows.
11 years of coding experience
6 years of employment as a software developer
Undergraduate, Informatics, 3.91/4.00, Undergraduate, Informatics, 3.91/4.00 at Institut Teknologi Sepuluh Nopember (ITS)
Winter Program, Artificial Intelligence, 4.00/4.00, Winter Program, Artificial Intelligence, 4.00/4.00 at Asia University (TW)
Contributions:57 reviews, 161 commits, 35 PRs in 1 year 9 months
rosopencrros2dynamixeltachimawari
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