Humza Haider

Senior Software Engineer at Leap

Hopkins, Minnesota, United States
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Summary

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Senior
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Top School
Humza Haider is a Senior Software Engineer with 10 years of experience building production machine learning systems and cloud-native platforms, currently at Leap. He has led end-to-end design and implementation of contextual multi-armed bandit platforms that drove multimillion-dollar revenue gains and improved user engagement, and co-founded Karousel.ai to productize personalization at scale using Golang and GCP. His research background in statistical machine learning (MSc) focused on patient-specific survival curves and time-to-event modeling, giving him uncommon depth in both applied healthcare analytics and broader churn/attrition problems. Humza combines hands-on engineering—Kubernetes, BigQuery, Kafka, Terraform—with technical leadership, mentoring teams and translating stakeholder needs into robust ML-driven products. He has a track record of shipping high-throughput streaming predictions and building monitoring pipelines that keep models reliable in production. Based in Hopkins, MN, he blends academic rigor with startup pragmatism, often leveraging survival-analysis techniques in non-medical domains like pricing and retention.
code10 years of coding experience
job9 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Alberta
bookBachelor of Arts (BA), Statistics, Computer Science, and Mathematics, Bachelor of Arts (BA), Statistics, Computer Science, and Mathematics at University of Minnesota-Morris
languagesEnglish
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Github Skills (12)

tidymodels10
distributions10
r-package9
logistic-regression9
mixed-models9
regression8
survival8
fairness-ml8
machine-learning7
python2
instrumentation1
sdk1

Programming languages (2)

RPython

Github contributions (5)

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haiderstats/MTLR

Nov 2018 - Dec 2020

An R package for Multi-Task Logistic Regression.
Contributions:3 releases, 181 commits, 1 PR in 2 years 1 month
r-packageregressionmulti-tasktidymodelslogistic
haiderstats/ISDEvaluation

May 2018 - Mar 2021

Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
Contributions:242 commits, 23 pushes, 1 branch in 2 years 10 months
distributionsindividualfairness-mlevaluateeffective
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