Muhamad Rialdy

Someone who likes to analyze, create, and design concepts, is a team player and Independent Learner. 2 years of experience as a machine learning engineer, I am experienced in building and developing applications for object detection, including data collection, data cleaning, data augmentation, deep learning model training, model optimization, model inference, model serving, and connecting cameras with the RTSP protocol as input to the model, which is first stored in an in-memory database. I have implemented object detection in the government sector to detect 17 classes of ships and achieved 93% mAP

• Manage projects and create web-based applications
• Continuously discover research to understand the latest deep learning algorithms, including state-of-the-art techniques
• Create and develop architectures to support distributed learning using Horovod.
• Fix bugs and improve application performance.
• Build environments using Python virtual environments and Anaconda environments for data analysis, model building, and application development.
• Work with ETL (Extract, Transform, and Load) process related to Data

Warehouse

Bachelor Electrical Engineering ,

Islamic University of Indonesia, Indonesia