John Detloff
IOS Developer at Record360
Madison, Wisconsin, United States
Summary
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Rockstar🎓
Top SchoolJohn Detloff is an iOS developer with 12 years of experience building mobile experiences at companies including Meta, Google, and Facebook, and he currently contributes to Record360 from Madison, WI. He specializes in native iOS and Android work that balances polished UI components with robust platform integration, having contributed to Material Components for iOS with accessibility and feature improvements. Notably, he improved PyTorch’s CoreML backend—optimizing model loading, preventing memory leaks, and enhancing inference diagnostics—to make on-device ML more reliable on iOS. His career spans mobile games and social MMOs through large tech platforms, giving him a rare mix of product-driven UX sensibility and low-level performance focus. Outside of work he channels his curiosity into building games and puzzles, hackathons, and hiking, bringing a playful, problem-solving mindset to engineering.
13 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at University of Wisconsin-Madison
Stackoverflow
61reputation
3kreached
0answers
1question
Github Skills (16)
ui-components10
objective-c10
material-design10
swift10
ios10
python10
coreml10
material-components10
machine-learning9
deep-learning9
neural-network8
gpu8
httpurlconnection6
tensor6
java6
Programming languages (8)
Github contributions (5)
material-components/material-components-ios
Oct 2017 - Aug 2018
[In maintenance mode] Modular and customizable Material Design UI components for iOS
Role in this project:
iOS Mobile Developer
iOS Mobile DeveloperContributions:41 commits, 70 PRs, 29 pushes in 10 months
Contributions summary:John primarily contributed to the development and maintenance of UI components for iOS using Objective-C and Swift within the Material Components library. Their work included resolving issues in the ActivityIndicator component, implementing new color schemes and features for the MDCSlider, and adding delegate callbacks to the ActivityIndicator. They also updated accessibility labels and values for the ActivityIndicator and made several other improvements and bug fixes across various components.
objective-cmaterial-componentsmaterialmaintenance-modecustomizable
pytorch/pytorch
Jun 2022 - Nov 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 reviews, 35 commits, 37 PRs in 4 months
Contributions summary:John primarily contributed to the CoreML backend for PyTorch, focusing on improving its integration with iOS devices. Their work involved preventing memory leaks, optimizing model loading, and enhancing logging for debugging inference failures. The user's commits also addressed issues related to model compilation and caching, ensuring efficient use of resources on the target platform. These changes streamlined the process of deploying and running PyTorch models on iOS devices.
pythongpu-accelerationdeep-learninggpunumpy
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