Ali Habib

Data Scientist

Vermont, United States
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Summary

👤
Senior
Mohamed Habib is a Data Scientist with 8 years of experience building end-to-end AI systems that span embedded hardware to cloud-hosted applications. He designs and ships production ML solutions—computer vision for fare-evasion detection, LLM integrations on Google Cloud, and optimization algorithms that cut routing compute from hours to minutes. His background blends hands-on embedded work (Raspberry Pi, BeagleBone, custom PCBs) with full-stack software and ETL automation, enabling real-time IoT data pipelines and visualization tools. A 4.0 MS graduate in Electrical and Computer Engineering, he has applied ML to transportation and weather problems with high-impact results (90%+ accuracy, 0.9+ F1) and has experience leading agile teams and CI/CD-driven projects. Notably, he has delivered fielded systems that couple sensor-level engineering with large-model capabilities, bridging the gap between edge data collection and cloud-scale inference.
code8 years of coding experience
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Github Skills (26)

convolutional-neural-networks10
cancer-detection10
deep-learning10
data-augmentation10
brain-tumor-detection10
lstm-model9
stock-price-prediction8
recurrent-neural-networks8
keras-models7
lstm7
keras6
r6
java5
tasks5
machine-learning5

Programming languages (5)

TypeScriptJupyter NotebookRubyKotlinPython

Github contributions (5)

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Brain Tumor Detection Using Convolutional Neural Networks.
Contributions:9 commits, 1 PR, 8 pushes in 1 day
brain-tumor-detectionconvolutional-neural-networksdeep-learningdata-augmentationcancer-detection
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Contributions:11 commits, 1 PR, 7 pushes in 23 days
lstmrecurrent-neural-networkskeraslstm-modellstm-neural-network
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