Summary
Shardul Parab is a Machine Learning Engineer II with ~10 years of industry and academic experience building and shipping production-grade ML systems across computer vision, NLP, recommender systems, and large-scale MLOps. He has led R&D teams (patent-pending work in periocular recognition) to deliver real-time detection, tracking, and face recognition products at scale, and recently focused on LLMs, generative AI, and distributed ML platforms for retail. Equally comfortable prototyping novel deep learning research and implementing hardened production pipelines, he combines expertise in CNNs/ViTs, transformers, GNNs, two-tower recommenders, and classical ML with hands-on MLOps using Kubernetes, Spark, Kafka, MLFlow, ONNX and TensorRT. Based in New York and completing an MS in CS at UCLA, he brings a cross-cultural background from BITS-Pilani and leadership experience from both corporate and campus teams. A practical innovator, he pairs measurable business impact—revenue and cost gains from ML infra work—with a taste for shipping lightweight client-side ML (Tensorflow.js) solutions.
10 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Bachelor's degree Computer Science, Bachelor's degree Computer Science at BITS Pilani, Hyderabad Campus
The Bishop's School, Pune
University of California, Los Angeles
Junior College, Junior College at Fergusson College