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Hayden Menge, Software Engineer

Hayden Menge

Software Engineer

Seattle-based Software Engineer specializing in distributed systems, passionate about exploring the potential of AI and Machine Learning

LinkedIn

Projects

Screenshot of Screen View MCP

Screen View MCP

TypeScriptMCP SDKClaude VisionAINode.js

Using Anthropic's MCP SDK to enable AI assistants to capture and analyze screenshots using Claude Vision API.

Source
Screenshot of Latent

Latent

PythonPyTorchAI/MLResearchTransformers

Research implementation exploring parameter efficiency and generalizability in transformers using latent space bottlenecks.

Source
Screenshot of ConverseGPT

ConverseGPT

PythonReactAWSIaCGPTFull-Stack

GPT-based chat app and infrastructure-as-code backend.

Source
Screenshot of Orbital Portfolio

Orbital Portfolio

ReactNext.jsThree.jsTypeScriptTailwind CSSWebGLshadcn/uiFramer Motion

Interactive developer portfolio featuring a physics-based particle system.

SourceLive Demo

Skills & Technologies

About Me

Bio

With 3 years of experience building robust backend systems (Java/Spring Boot, AWS, k8s), I have a strong foundation in creating scalable and reliable software. Based in Seattle, I am particularly passionate about the intersection of backend architecture and AI, actively exploring how machine learning (PyTorch, Pandas, Scikit-learn) can enhance system efficiency and unlock new capabilities. I thrive on tackling complex challenges and delivering elegant, high-performance solutions.

Experience

  • Senior Associate Database Engineer

    Salesforce

    2024-Present

  • L4 Software Development Engineer

    AWS

    2022-2023 (16.0 months)

    Developed and scaled a high-volume AWS data streaming service using Java; designed a critical migration tool reducing errors by 90%; improved monitoring and CI/CD pipelines to enhance system reliability and efficiency.

  • Software Engineer

    UF ML Lab

    2021-2022 (15.0 months)

    Researched AI models for crop yield improvement using ML/DL; developed a Python computer vision tool reducing processing time by 60%; optimized deep learning workflows on HPC infrastructure.

  • Location: Seattle, Washington

Education

The University of Florida, B.Sc in Computer Engineering