Rayyan Khalid

Machine Learning Engineer II at Scribd, Inc.

Oregon, Canada
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Summary

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Senior
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Top School
Rayyan Khalid is a Machine Learning Engineer II based in Oregon with nine years of experience building production ML and data-driven software that drives business outcomes across companies like Amazon, KAYAK, Thomson Reuters and Scribd. He blends NLP and CV expertise—shipping pointer-generator-based date extraction with 93% recall for legal text, multilingual tagging and image-assessment models that cut training time by up to 25%—while also owning scalable training and inference pipelines for production teams. Comfortable moving between research and engineering, he has delivered conversational bots, recommendation systems, and end-to-end ML web applications, and he mentors engineers and interns on ML and Python best practices. With a Master’s in Data Science & AI from Waterloo and hands-on experience across startups and large enterprises, he’s as focused on model quality as on security, maintainability and measurable business impact.
code9 years of coding experience
job8 years of employment as a software developer
bookNanodegree, Data Engineering, Nanodegree, Data Engineering at Udacity
bookBachelor of Science (Bsc), Computer Engineering, Bachelor of Science (Bsc), Computer Engineering at University of Engineering and Technology, Lahore
bookMaster of Data Science and Artificial Intelligence (MDSAI), Mathematics and Computer Science, Master of Data Science and Artificial Intelligence (MDSAI), Mathematics and Computer Science at University of Waterloo
languagesEnglish, Urdu
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Github Skills (24)

data-modeling7
pyspark7
text-mining7
data-lake7
urdu6
aws6
python6
spark6
sql5
analytics4
data-warehouse4
data-pipeline4
airflow3
data-engineering3
machine-learning2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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JobAnalytics system consumes data from multiple sources and provides valuable information to both job hunters and recruiters.
Contributions:36 commits, 22 pushes, 1 branch in 19 days
pythonrecruitersjobseekerjobdata-warehouse
I made a few notebooks in order to guide students at a workshop about the power of tensor-flow. These notebooks could be helpful for any beginner who wants to get into Deep Learning using Tensorflow
Contributions:17 commits in 1 day
deep-learningtensorflow
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