Arsal Syed
Senior Machine Learning Engineer at AssetWatch®
Las Vegas, Nevada, United States
Summary
👤
Senior🎓
Top SchoolArsal Syed is a Senior Machine Learning Engineer with a Ph.D. in Electrical Engineering and nine years of experience building production-grade AI systems across predictive maintenance, computer vision, and generative AI. Based in Las Vegas, he has led MLOps and large-scale training pipelines at Maven Wave and now focuses on signal processing and predictive maintenance at AssetWatch®, combining research rigor from his UNLV postdoc with hands-on deployment experience. His background spans autonomous driving pedestrian trajectory prediction, connected-vehicle edge inference, and industrial sensor anomaly detection, giving him a rare blend of academic depth and practical engineering. He designs RAG-enabled conversational systems, CI/CD for ML, and recommendation and anomaly detection engines on cloud platforms, while mentoring teams and shaping go-to-market AI strategies. Notably, his corpus of academic work on pedestrian behavior underpins real-world safety and autonomy projects, reflecting a consistent thread of turning deep research into operational systems.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at New York Institute of TechnologyDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at University of Nevada-Las VegasBachelor of Science - BS Engineering Science, Bachelor of Science - BS Engineering Science at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Github Skills (8)
driver9
robotics9
operating-system8
lstm-model5
graph-convolutional-networks5
convolutional-neural-networks5
graph3
realtime3
Programming languages (1)
Github contributions (5)
arsalhuda24/MLOps-Realtime-Trajectory-Prediction
Apr 2020 - Jul 2022
Contributions:180 commits, 2 PRs, 180 pushes in 2 years 4 months
arsalhuda24/LSTM-autoencoders-for-Trajectory-Prediction
May 2020 - Mar 2021
Contributions:39 commits, 38 pushes, 1 branch in 9 months
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