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William Hayes

@williamhayes1

Full Stack & Machine Learning Infrastructure Engineer at GoDaddy, shipping Android apps with private, on-device ML inference.

United States

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At GoDaddy, I built and shipped Android software using Kotlin and Jetpack Compose, integrating on-device machine learning so application data could stay local. I quantized a model to INT8 with less than 1% accuracy loss and maintained p95 inference latency below 5 ms on representative mid-range Android hardware.

As a Freelance, Self-Employed Full Stack & Machine Learning Infrastructure Engineer, I built the ML pipeline from dataset preparation and training through Android integration and deployment. I also evaluated model performance, privacy benefits, and risks such as model extraction and reverse engineering.

At YaizY, I audited Android applications using the OWASP Mobile Application Security Testing Guide and built GitHub Actions security and quality gates. I also created automated Espresso and UI Automator test suites for critical application flows.

Experience

Work history, roles, and key accomplishments

Current

Full Stack & Android Specialist

Current

2020 Companies

Sep 2025 - Present (1 year 2 months)

Serve as a technical Android specialist supporting major device launches, Android platform releases, AI-enabled product capabilities, and security updates. Translate complex technical functionality into clear guidance for customers and stakeholders.

Android Technical Support Customer Education AI features Software updates

Current

Full Stack & Machine Learning Infrastructure Engineer

Current

Freelance

Dec 2021 - Present (4 years 11 months)

Designed, trained, optimized, and deployed machine learning models for Android applications, building the complete ML pipeline independently. Integrated models using LiteRT and applied INT8 quantization to improve performance.

Machine Learning Tensorflow Lite LiteRT INT8 Quantization Android Model Optimization On Device Inference Threat Modeling

Software Developer

GoDaddy

Feb 2023 - Sep 2025 (2 years 7 months)

Built and shipped Android software using Kotlin and Jetpack Compose, including on-device machine learning with LiteRT. Implemented security controls and achieved p95 inference latency below 5 ms with less than 1% accuracy loss after quantization.

Kotlin Jetpack Compose Android LiteRT INT8 Quantization Machine Learning Security Threat Modeling Android Keystore Certificate Pinning

Security & Business Development Specialist

YaizY

Oct 2021 - Oct 2022 (1 year)

Audited Android applications using OWASP MASTG and built CI/CD security gates. Developed automated test suites and reviewed third-party dependencies for vulnerabilities.

OWASP Mobile Application Security Testing Guide Android Security GitHub Actions CI CD Espresso UIAutomator Vulnerability Monitoring Databases

Mobile Technical Analyst

ITG Brands

Apr 2020 - Dec 2021 (1 year 8 months)

Analyzed operational and performance data to identify problems and prioritize work. Investigated performance trends and communicated practical recommendations to stakeholders.

Data Analysis Troubleshooting Stakeholder Communication