Ebad Syed
About Ebad Syed
Ebad Syed is an Embedded Software Engineer specializing in AI/ML inference, currently working at Latent AI, Inc. in the New York City Metropolitan Area since 2021.
Work at Latent AI
Ebad Syed has been employed at Latent AI, Inc. as an Embedded Software Engineer specializing in AI/ML Inference since 2021. His role involves optimizing AI/ML inference processes, where he has developed an Int8 Quantization and Calibration tool flow aimed at enhancing performance. Prior to this position, he served as a Software Engineer Intern at the same company for one month in 2021, contributing to AI/ML inference projects.
Education and Expertise
Ebad Syed completed his A Levels in Science at Generation's School from 2011 to 2013. He then pursued a Bachelor of Engineering in Electrical and Electronics Engineering at NED University of Engineering and Technology from 2013 to 2017. Following his undergraduate studies, he earned a Master of Engineering in Electrical and Computer Engineering from the New York Institute of Technology between 2019 and 2021. His expertise includes operator translation from Relay to TensorRT and optimizing AI/ML inference using TVM Compilation and ONNX for the CUDA/NVIDIA TensorRT backend.
Background
Ebad Syed's early education includes O Levels in Science from Shahwilayat Public School, which he completed from 2001 to 2011. He has gained diverse experience in embedded software development through various internships and positions. His professional journey includes roles at Lambda Theta, UTF-Labs, EjaadTech, and Retrocausal AI, where he worked on machine vision, Internet of Things, and computer vision projects.
Achievements in AI/ML Inference
Ebad Syed has made significant contributions to AI/ML inference optimization. He has been involved in developing benchmark tooling and application optimization strategies. His work includes the development of tools that enhance the efficiency of AI/ML models, showcasing his ability to apply theoretical knowledge in practical settings.
Internship Experience
Ebad Syed has participated in several internships that have shaped his career in embedded software development. Notably, he interned as an Embedded Software Developer at Lambda Theta in 2016, where he focused on machine vision. He also worked at EjaadTech as an Embedded Developer Intern in 2015 and at Retrocausal AI as a Computer Vision and Machine Learning Engineer from 2018 to 2019.