Muharram Syah
Machine Learning Engineer
I’m a in Indonesian-based ML Engineer who specializing in machine learning and deep learning with deeper interest in Computer Vision
I am a Machine Learning Engineer with expertise in computer vision, deep learning, and cloud-based AI solutions. I specialize in optimizing and deploying machine learning models for production, ensuring efficiency and scalability through model optimization, cloud deployment, and MLOps.
With a strong foundation in backend development using Python, I have integrated ML models into real-time and batch inference pipelines. My experience includes developing AI-powered analytics systems and implementing advanced model compression and GPU acceleration techniques.
Beyond my technical skills, I enjoy solving real-world AI challenges and aligning technology with business goals. I thrive in collaborative environments and am always eager to learn, optimize, and push the boundaries of AI to create impactful solutions.
Experiences
Aug 2024 - Jan 2025
Senior Machine Learning Engineer · PETRONAS Digital Sdn Bhd
I optimized and managed a cloud-integrated system for real-time inference, improving performance and ensuring seamless operation. Through strategic optimizations, I significantly reduced operational and cloud costs. Additionally, I led the development of an image analytics module to automate visual assessments, enhancing efficiency in engineering analysis. These initiatives streamlined workflows, reduced costs, and improved the accuracy of automated inspections.
Apr 2023 - May 2024
Technology Platform Lead · Esri Indonesia
Responsible leading and mentoring a team of 6 GIS and technology experts, driving performance improvement and overseeing the successful delivery projects, resulting in cost saving. Additionally, providing technical guidance, resolving complex issues, and actively contributing to the development of IT strategy, fostering a 30% increase in new technology adoption.
May 2020 - Mar 2023
Data Scientist · Esri Indonesia
Responsible utilizing methodologies such as deep learning and natural language processing to develop and implement GeoAI solutions across industries. This involves integrating custom AI with tools like ArcGIS and NVIDIA Deepstream SDK, while also utilizing frameworks such as TensorFlow Lite and MaskRCNN for tasks like palm fruit grading and oil spill detection, respectively.
Projects
Sales Indihome Information System
Spatial data-based analytics application that can display various data in one integrated visualization so as to produce insights and actions
Digitalization SPBU Pertamina
To reduce Fraud transactions in the Oil and Gas sector, Pertamina created a digital application to monitor All transaction data from each gas station (SPBU) in Indonesia.
Forest Fire Detection GeoAI
Forests are the warp of the world that must be protected, therefore, the Indonesian Ministry of Forestry created an Early Alert System to find out hotspots that will appear and spread quickly in Indonesian forest areas. With this system, the Ministry of Forestry can more quickly and practically make reports or decisions to field officers
