Summary
Suraj Maniyar is a Research Scientist with 8 years of experience specializing in computer vision and machine learning, currently driving face anti-spoofing, liveness detection, and recognition models at Aware, Inc. He has a strong academic foundation from NC State (MS Electrical Engineering) and practical R&D experience from Kitware, where he combined deep learning with topological features to improve histopathology classification. At Aware he replaced third-party algorithms with lightweight, faster in-house models (10x smaller, 2x faster), pioneered reflection-based spoof detection and mask-robust workflows, and built a C++ TensorFlow Lite wrapper for single-threaded benchmarking. Proficient in Python and C++ with hands-on PyTorch/TensorFlow/Keras, he also applies active learning and embedding-based outlier detection to improve training data quality. Based in Mumbai, he blends research rigor with production-focused engineering and a track record of turning novel ideas into customer-facing wins.
8 years of coding experience
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at North Carolina State University
Mahatma School of Academics and Sports
BTech Electronics Electronics Engineering, BTech Electronics Electronics Engineering at Veermata Jijabai Technological Institute (VJTI)
Higher Secondary School Computer Science, Higher Secondary School Computer Science at Atomic Energy Central School
English, Hindi