Rakeh Saleem, Ph.D.
Fort Lauderdale, Florida, United States
Summary
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SeniorMuhammad Saleem is a PhD-trained Data Scientist with eight years of experience turning high-dimensional sensor and vision data into production-ready AI, specializing in multimodal sensor fusion and edge intelligence for UAVs and autonomous systems. He bridges foundational research—Computer Vision, Transformers, and time-series forecasting—with hands-on MLOps, deploying models on AWS SageMaker and optimized edge platforms to reduce latency and maximize real-world ROI. His work spans document AI/OCR, object detection, and automated demand-forecasting MVPs, reflecting a rare combination of algorithm design and systems architecture. Notably, his research projects captured expert inspector behavior via eye-tracking and developed ultra-low-power event-driven sensors, showing a practical focus on accessibility and long-term structural monitoring. Based in Fort Lauderdale, he thrives at the intersection of high-performance computing and field-deployable solutions, able to own models end-to-end from prototype to scalable production.
8 years of coding experience
Github Skills (42)
monitoring10
mask-rcnn10
keras10
image-segmentation10
deep-learning10
tensorflow10
instance-segmentation10
object-detection10
computer-vision10
attiny9
coco9
arduino8
api8
simulator8
webservice7
Programming languages (5)
Github contributions (5)
rakehsaleem/MKR1400-Nust
May 2021 - Oct 2025
Contributions:14 pushes, 1 branch in 4 years 5 months
rakehsaleem/Crack-Detection-TF-1.x.x
Oct 2019 - Jul 2022
Mask and instance-based crack detection for Python 3, Keras and TensorFlow 1.x.x
Contributions:64 commits, 23 pushes, 2 comments in 2 years 9 months
keraspythontensorflowmask-rcnninstance-segmentation
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