Arnav Malawade
Staff AI Engineer at MOIA America
Los Angeles Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolArnav Malawade is a Staff AI Engineer based in Los Angeles with 8 years of hands-on R&D experience building AI for Level 4 autonomous driving. He has published 15 applied ML papers (500+ citations), led teams of 10+ researchers and engineers, and driven AI strategy and technology transfer across VW Group brands. His work spans sensor fusion, graph-based interaction modeling, digital twins, and production ML deployments—improving object detection, collision prediction, latency, and energy use in real AV hardware. Skilled at translating cutting-edge research into scalable systems, he has also containerized and productized algorithms, authored patent disclosures, and formed industry partnerships to accelerate applied autonomy. A detail that sets him apart: his research reduced inference latency and energy by 60% on industry-standard AV hardware while boosting detection accuracy, demonstrating a rare balance of academic rigor and production pragmatism.
8 years of coding experience
8 years of employment as a software developer
University of California, Irvine
Github Skills (17)
scene-graph10
arxiv10
scene9
autonomous-driving8
uci8
autonomous-vehicles7
embedding7
deep-learning5
machine-learning5
tensorflow4
detector3
self-driving-car3
instance-segmentation3
anomaly-detection2
pytorch2
Programming languages (1)
Github contributions (5)
AICPS/sg-collision-prediction
May 2021 - Jul 2022
This repository includes the source code and dataset information needed to reproduce the results from our paper. For more information about our lab please visit https://aicps.eng.uci.edu
Contributions:7 commits, 7 PRs, 5 pushes in 1 year 2 months
ucideep-learningvisitdatasetmachine-learning
AICPS/roadscene2vec
Jun 2021 - Nov 2022
A Tool for Extracting and Embedding Road Scene-Graphs
Contributions:68 commits, 23 pushes, 13 comments in 1 year 5 months
roadgraph-neural-networksgraphssceneembedding
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