Machine Learning Engineer
CurrentAILiveSim, a Helsinki-based startup, uses game technology to create realistic, dynamic simulations for training and testing AI algorithms. Our software can augment datasets, collect associated ground truth, and train new learning algorithms using a curriculum, as well as conduct various types of testing- Generated synthetic data resembling real datasets by tweaking parameters in 3D environments.- Developed an object detection model for the maritime environment using synthetic data.- Engineered a sophisticated decomposition technique within the ResNet model, focusing on the computation of projection matrices and orthogonal components tailored for PCA analysis.- Implemented camera calibration using single images from simulated data to predict horizontal field-of-view (H-FOV), Brown-Conrady distortion parameters, and calculate the intrinsic camera matrix (K-matrix).- Generated LiDAR point clouds and performed voxelization to enhance scene understanding in simulated environments.- Leveraged LLaVA/LLaMA large language and multimodal models to automate scene descriptions and improve AI interaction with simulated scenes.- Successfully dockerized machine learning inference models for optimal resource utilization and isolation.- Deployed models as AWS Lambda functions, enabling scalable, serverless execution with reduced operational overhead.