Josh Hug

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Summary

👤

Senior

Joshua Hug is a Staff Machine Learning Engineer with 11 years of experience designing and productionizing large-scale data pipelines and transformer models across on-prem and cloud environments. At CVS Health he led migration of complex ML frameworks to Google Cloud, built BigQuery and Dataflow pipelines that processed 100M+ member sequences and supported 1000+ prediction heads, and earlier drove Spark and PyTorch solutions that boosted model value by up to 60%. He pairs rigorous academic training (MA in Statistics, Berkeley) and instructional experience as a GSI with hands-on engineering, contributing to Berkeley CS course skeletons and algorithm code that improved testing and performance. Known for shipping scalable, testable systems, he blends deep statistical insight with practical software craftsmanship to move cutting-edge models into production.

11 years of coding experience

Github Skills (15)

data-structures10

javas10

algorithms10

junit10

data-structure10

java10

testing10

fileio9

file-access9

exception-handling9

linked-list9

file-handling9

file-processing9

unit-testing9

jtest8

Programming languages (6)

JavaC++SCSSHTMLJupyter NotebookPython

Github contributions (5)

Berkeley-CS61B/skeleton-sp18

Jan 2018 - Apr 2018

Role in this project:

Backend Developer

Contributions:40 commits, 36 pushes in 3 months

Contributions summary:Josh primarily contributed to the project by adding skeleton files, likely providing the foundational structure for project assignments. Their work involved the initial setup of Java files, including the `In.java` class used for input operations, and subsequent additions of skeleton code for labs and projects. The contributions indicate a focus on providing a starting point for students to work on and complete the assignments. They added and modified java files for lab2, lab5, and proj1gold along with support files.

Berkeley-CS61B/lectureCode-sp18

Jan 2018 - Feb 2018

lecture code

Role in this project:

Full-stack Developer

Contributions:13 commits, 10 pushes, 1 branch in 1 month

Contributions summary:Josh contributed to several Java-based assignments and exercises, primarily focusing on data structures and algorithms, including linked lists and array-based lists. They implemented and tested core functionality for data structures, including insertion, retrieval, and removal operations. Additionally, they engaged in unit testing using JUnit, demonstrating a focus on software quality and testing practices. The contributions suggest a strong understanding of fundamental computer science concepts within a Java programming context.

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