External Reviewer/Contributor at Dicoding Indonesia Currently

I have had the opportunity to guide and support aspiring engineers as they navigate their journey through the Machine Learning Engineer Path. From foundational concepts to advanced implementations, I have reviewed numerous projects, offering constructive feedback to help learners refine their skills and improve their problem-solving approaches. Additionally, my involvement extends to reviewing beginner-level projects in Data Science, Front-End Development, and Google Cloud.

Beyond technical evaluations, I have taken on roles as an Advisor, Instructor, and Mentor in various Dicoding programs, including Bangkit, LaskarAI, and Coding Camp. These experiences have allowed me to not only share knowledge but also foster meaningful connections with learners, guiding them toward industry best practices and career growth.

Machine Learning Operations Architect at Global Data Inspirasi and UNNES Project

As the architect behind the ecosystem design of SPARKA: Smart Parking Monitoring System for Smart Campus UNNES, I have played a key role in shaping its infrastructure to support seamless, efficient, and scalable operations. My work involves designing a robust ecosystem that integrates various machine learning components, ensuring optimal performance for real-time vehicle detection and parking space monitoring. By leveraging microservice concepts, I have built a modular, scalable, and easily deployable machine learning platform, enabling smooth integration across different environments while maintaining high availability and fault tolerance.

Technical Lead at Global Data Inspirasi Project

As a Lead, I drive my team developing integrated technology solutions to drive smart tourism development. By leveraging a combination of robotics, artificial intelligence, and web-based systems, I aim to create an ecosystem that enhances visitor experiences, improves operational efficiency, and supports data-driven decision-making for tourism stakeholders. My approach focuses on seamless integration, ensuring that different technological components work harmoniously to provide innovative and practical solutions for modern tourism challenges.

In addition to system design, I take a leadership role in guiding and managing the development of technology-driven product solutions for smart tourism. This includes overseeing the entire lifecycle of product development—from conceptualization and prototyping to deployment and optimization. By fostering collaboration among engineers, designers, and domain experts, I ensure that our solutions are not only technologically advanced but also user-centric, scalable, and impactful for real-world tourism applications.

Machine Learning Solution Architect Intern at Global Data Inspirasi and UNNES Project

I am designing and developing real-time monitoring systems for Smart Tourism utilizing computer vision and AI technologies to enhance visitor insights and improve tourism management. By integrating advanced capabilities such as age, gender, and emotion detection, these systems provide valuable data that can be used to personalize experiences, optimize crowd management, and support data-driven decision-making for tourism operators. To ensure seamless access to this information, I have also developed a API and backend system that enables real-time data retrieval and processing, allowing stakeholders to monitor and analyze visitor patterns effortlessly. Through this work, I aim to create smarter, more responsive tourism environments that enhance both operational efficiency and visitor engagement.

IoT Engineer and Technician at Best Garment

I am actively involved in developing an IoT device that enables real-time monitoring of garment truck conditions, helping improve logistics efficiency and operational visibility. In addition, I am exploring and learning about the machine pipeline within the garment machine industry, gaining insights into how different stages of production can be optimized using various technology. As part of this effort, I am also contributing to the design of a washing garment machine for revitalization, ensuring that it meets modern efficiency standards while integrating innovative features for improved performance.

Intelligence Robotics Research Assistant

As a research assistant, I contribute to initiatives focused on developing Autonomous Guided Vehicles (AGVs) powered by computer vision for intelligent navigation and operational safety. My role involves assisting in the design, experimentation, and developing of the robotic systems algorithm that is capable of detecting environmental and making decisions such as stopping or moving at the right place.