Ebad Syed

Embedded Software Engineer - AI/ML Inference
New York, New York, United States

Professional Overview

Ebad Syed is an experienced Embedded Software Engineer with a strong focus on AI/ML inference applications. He possesses a diverse background in embedded systems development, computer vision, and machine learning, enabling him to deliver innovative solutions for complex industry challenges.

Experience Summary

Current Role

Ebad currently serves as an Embedded Software Engineer - AI/ML Inference at Latent AI, Inc. In this role, he is responsible for developing and optimizing embedded software for AI/ML inference on edge devices. He works closely with cross-functional teams to design and implement efficient, low-latency inference pipelines that drive cutting-edge applications in various industries.

Career Progression

Prior to his current position, Ebad gained valuable experience as a Software Engineer Intern - AI/ML Inference at Latent AI, Inc., where he contributed to the development of embedded AI/ML models and inference frameworks. He also held roles as a Graduate Research Assistant (Embedded Developer) at New York Institute of Technology, a Computer Vision and Machine Learning Engineer at Retrocausal AI, and an Embedded Software Developer at UTF-Labs and EjaadTech, where he honed his skills in embedded systems, computer vision, and machine learning.

Academic Background

Ebad holds a Master's degree in Computer Science from New York Institute of Technology, where he specialized in Embedded Systems and Machine Learning. During his graduate studies, he demonstrated exceptional research and development capabilities, contributing to various projects and publications in the field of embedded AI/ML.

Areas of Expertise

• Embedded software development for AI/ML inference on edge devices

• Optimization and deployment of deep learning models on resource-constrained platforms

• Computer vision and image processing algorithms

• Sensor fusion and data acquisition for IoT applications

• Proficient in C/C++, Python, and embedded system programming

Professional Impact

Ebad has made significant contributions to the development of cutting-edge AI/ML inference solutions. He has played a pivotal role in designing and implementing efficient embedded software that powers real-time inference capabilities in various industry verticals, including smart manufacturing, autonomous vehicles, and intelligent surveillance systems. His technical expertise and problem-solving skills have consistently been recognized and leveraged by his employers to drive innovation and deliver tangible business results.

Conclusion

With his strong technical acumen, industry experience, and passion for embedded AI/ML, Ebad Syed is well-positioned to continue making a lasting impact in the field of Embedded Software Engineering. He is committed to staying at the forefront of emerging technologies and collaborating with cross-functional teams to push the boundaries of what is possible in the realm of intelligent embedded systems.