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Ryan H - React developerLD Talent logo

Ryan H

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Full Stack Developer Preferred Title
$125.00 /hr $ 200.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.6
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 24h PST, 48h UTC
Interview Scores (4.1/5)
  • Software Engineering Process 5.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 5.0/5
  • Logical Thinking 5.0/5
  • Technical Strength 5.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 5.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 5.0/5
  • English Communication 5.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Mac
  • Phone iPhone
  • Tablet iPad
General
  • Member Since Oct 23, 2023
  • Profile Last Updated Oct 11, 2023
  • Last Activity Sept. 13, 2024, 2:49 a.m. UTC
  • Location United States of America
Profile Summary
I specialize in Web Development, AWS Infrastructure, and Machine Learning and can solve even the most complex technical challenges. I've worked with top tech startups throughout Silicon Valley, NYC, and Boston. I'm extremely familiar with Web Development (Typescript, React, Webpack, APIs, AWS, GCP, GraphQL, Redshift, Postgres, etc), AWS & Infrastructure (AWS Cloudfront, Load Balancer, WAF, Beanstalk, SQS, Docker, Kubernetes, etc), Machine Learning (PyTorch, Tensorflow, AWS p4d instances, NVIDIA)
Skills
Total Experience: 2+ years
  • React (2Y)

    2 years of experience
  • Api Design (2Y)

    2 years of experience
  • React Hooks (2Y)

    2 years of experience
  • Load Balancers (2Y)

    2 years of experience
  • AWS Redshift (2Y)

    2 years of experience
  • API Management (2Y)

    2 years of experience
  • DataDog Cloud Monitoring (2Y)

    2 years of experience
  • Closure (2Y)

    2 years of experience
  • JavaScript (2Y)

    2 years of experience
  • SQL (2Y)

    2 years of experience
  • Continuous Deployment (2Y)

    2 years of experience
  • Google Cloud (2Y)

    2 years of experience
  • A/B Testing (2Y)

    2 years of experience
  • Big Data (2Y)

    2 years of experience
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 24h PST, 48h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
PST
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • English Communication
  • Documentation
  • Code Quality
  • Code Readability
Experience
Senior Software Engineer
Employment
Jan 2023 - Present
Motional Company
  • React
  • Api Design
  • React Hooks
  • Load Balancers
  • AWS Redshift
  • API Management
  • DataDog Cloud Monitoring
  • Built a Metrics Dashboard to visualize extensive amounts of data.
  • Used React Hooks, Recoil, Typescript, API Design, API Management, Vite, and DataDog Cloud Monitoring in the frontend.
  • Used Python, Load Balancers, AWS Redshift, and SQL in the backend.
Full Stack Developer
Employment
Jun 2023 - Present
Google Company
  • Closure
  • JavaScript
  • SQL
  • Continuous Deployment
  • Google Cloud
  • A/B Testing
  • Big Data
  • Led work to increase the security of Google’s SafeFrame (2B+ HTTP requests/day). Improved compliance with GDPR & ePrivacy directives.
  • Ran A/B experiments to detect < 0.05% shifts in metrics for every change. Used Closure, JavaScript, Google Cloud, A/B Testing, Continuous Deployment, Big Data, SQL.
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