About

Ali Panahi is a highly experienced Senior Software Engineer in Machine Learning, with over 12 years of relevant experience. He is currently working at c3.ai, where he is responsible for designing and implementing the next generation of distributed machine learning pipelines. Ali has also worked as a Research Assistant at Virginia Commonwealth University, where he led several innovative projects, resulting in multiple publications and awards. Ali's expertise lies in various areas, including NLP, Neural Networks, Deep Learning, Pytorch, BERT, Neo4j, Adversarial Networks, Image Segmentation, MySQL, Web, Redis, PHP, iOS, Computer Vision, Python, Javascript, NodeJS, and Android. He has successfully trained from scratch various architectures such as Transformer, BERT, Attentional Seq2Seq, LSTMs, CNNs, and GANs for 10s of CV/NLP tasks with SOTA performance. Ali is also experienced in developing and managing training of 1000s of neural networks in distributed systems, including 110xTPUs, 8xV100, 4xTitanXP GPUs. Ali has also co-founded a startup called Immersive Data Analytics in VA+BioTech Park, which developed a first-of-its-kind mixed reality application for exploratory data analysis and visualization of network graphs with 14 3D layouts. The product was acclaimed by NPR News, Richmond-Times Dispatch. He has also designed, managed and implemented a platform for visualizing medical images such as CT-Scan and MRI in different virtual and augmented reality environments. The platform was awarded a $20K grant from VCU Health Surgery Department and was acclaimed by Richmond-Times Dispatch, MCV Foundation, and VCU Health. Ali has a Doctor of Philosophy - PhD and a Master of Science (M.Sc.) in Computer Science from Virginia Commonwealth University. He is a highly skilled and motivated individual with a proven track record of leadership, mentoring, and innovation. Ali is a valuable asset to any organization that values excellence, innovation, and creativity.