About

Anurag Syal is a highly skilled and experienced Senior Machine Learning Engineer with expertise in Computer Vision, MLOps, Deep Learning, Machine Learning, Data Science, and AR/VR/MxR. He is currently employed at the realreal, where he has been instrumental in developing and implementing cutting-edge machine learning solutions. Anurag has an impressive background, having worked for several esteemed organizations in the past. He previously worked as a Machine Learning Consultant for Whole Foods Market, where he collaborated with the Promotions team to develop a deep understanding of Halo-Cannibalization effects. Anurag was responsible for productionizing Deep Learning models to predict ideal promotions on grocery items. He also architected an MLOps pipeline in AWS that trains Deep Learning models on AWS SageMaker end-to-end, which reduced the deployment cycle time by 90% through parallelization. Anurag has also worked as a Lead Machine Learning Engineer for Aedit, where he was responsible for developing and implementing machine learning solutions for the company's products. Anurag holds a Master of Science degree in Electrical Engineering from the University of Southern California and a Bachelor of Technology degree in Electrical and Electronics Engineering from the National Institute of Technology Karnataka. He also has a high school diploma from Jawaharlal Nehru HR. Sec. School. Anurag has a strong technical background and is proficient in several technologies, including ML, Deep Learning, Computer Vision, Data Scientist, AWS, and Sagemaker. He has over 6 years of relevant experience in the field and is highly regarded by his peers for his technical skills and expertise.