Summary
Ali Babolhavaeji is a Senior Data Scientist and AI/ML engineer in Austin with a decade of experience designing and shipping end-to-end, production-ready ML systems. He combines deep hands-on skills in Python, PyTorch/TF, and distributed training (including Elastic DDP across 24+ GPU clusters) with practical model optimization, pruning, and hyperparameter tuning to deliver efficient, scalable pipelines. At CCC Intelligent Solutions he leads cross-functional efforts to benchmark foundation and vision models, run latent-space impact analyses, and operationalize monitoring and retraining for robust, fair models. His work spans multimodal research—exploring Vision-Language Models and agentic AI—and applied solutions like a ViT-based accident cost estimator that reduced variance and improved accuracy. Unusually for a senior data scientist, his background includes embedded systems, FPGA and ARM microcontroller teaching and PCB design, giving him a strong hardware-to-ML systems perspective that informs efficient deployment decisions.
6 years of coding experience
7 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at University of Detroit Mercy
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Sharif University of Technology
English