Muhammad Mukhlis is a Machine Learning Engineer with 9 years of experience building production-ready computer vision and robotics systems across startups and enterprise teams. He designs scalable data pipelines and optimized inference stacks—using tools like Ray, Triton, ONNX, and TensorRT—to process thousands of videos daily while keeping latency low. His background spans end-to-end MLOps, from dataset engineering (MCAP, Deep Lake) and Lightning training workflows to deployment demos on Hugging Face and Gradio. He has led R&D on multi-task 3D occupancy and detection models and adapted NVIDIA VPI/CUDA to offload compute in thermal camera pipelines. Comfortable bridging research and production, he emphasizes maintainable, reproducible ML systems and has a track record of turning PoCs into demonstrable public artifacts. Based in Jakarta, he combines robotics-first intuition from ROS projects with modern deep learning and model optimization expertise.
9 years of coding experience
6 years of employment as a software developer
Gelar Sarjana, Electrical and Electronics Engineering, Gelar Sarjana, Electrical and Electronics Engineering at Universitas Gadjah Mada (UGM)
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Muhammad Mukhlis - Machine Learning Engineer at Kourai