J

Justin Brower

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New York, United States

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Résumé


Jobs verified_user 0% verified
  • Coinbase
    Lead Software Engineer
    Coinbase
    Sep 2025 - Current (10 months)
    • Established a scalable market research tool, MarketInsights, using Python and React, achieving an 87% reduction in data processing time by streamlining data pipelines and optimizing database queries, resulting in a 30% increase in client engagement and enabling the team to process 500,000 data points daily. • Shaped the technical direction of the 20-member engineering team, enabling the development of scalable systems and high- performance applications across the organization, while maintaining a focus on software engineering best practices and systems design principles using Django. • Owned the development and maintenance of five microservices across the platform, driving the adoption of containerization and orchestration using Kubernete
  • Eigen Labs
    Senior Software Engineer
    Eigen Labs
    Jun 2024 - Jul 2025 (1 year 2 months)
    • Accelerated company-wide React adoption, enabling faster development and deployment of full-stack web applications using Webpack and Babel, achieving 25K requests/day and supporting 500 concurrent users. • Reduced latency by 83% across 10 microservices, via optimized RESTful API design and implementation using Django and Swagger, resulting in improved system responsiveness, with average response times decreasing from 2 seconds to 300 milliseconds, and supporting 10,000 daily active users. • Architected a distributed system from monolithic to microservices-based over 6 months, using Docker and Kubernetes, allowing for greater scalability and fault tolerance, and enabling the team to develop more efficient Market Research tools, with a 30%
  • Coinbase
    Senior Staff Engineer
    Coinbase
    Jan 2022 - Apr 2024 (2 years 4 months)
    • Led development of full-stack applications across multiple teams, driving architectural decisions using Django and React that improved system performance and scalability, resulting in a 30% increase in request handling capacity to 1000 requests/second. • Led migration of legacy frontend services from Python to React, transforming the technology stack over 6 months, reducing average response time from 500ms to 200ms, and achieving a 5-second reduction in page load time. • Defined coding standards and best practices for 10 engineers across 2 teams, implementing a consistent development process using Python, Django, and Modern Frontend Tooling, which reduced bug count by 50 issues per quarter. • Designed and implemented a microservices-based
  • Meta
    Software Engineer
    Meta
    Jul 2017 - Nov 2021 (4 years 5 months)
    • Built MarketSphere market research tool from a monolithic architecture to a microservices-based system over 6 months, achieving 550 fewer failed deployments and enabling 200 faster feature rollouts per quarter. • Shipped 8K requests/day of market data to clients using Django and React for the DataInsights platform, supporting the development of predictive models and enabling data-driven decision-making across 5 organizational departments. • Deployed machine learning models using scikit-learn and Python for the ForecastPro tool, partnering with the data science team to integrate models into the market research platform and improve predictive accuracy by 15% on key metrics. • Maintained a suite of 20 market research tools used by 300 users
  • T
    Staff Engineer
    Trade
    Sep 2016 - Jun 2017 (10 months)
    • Enhanced 5K requests/day of market research data processing, achieving 300ms reduction in latency across the full-stack application using Python and Django, resulting in improved user experience and increased throughput, with a scope of 10 enterprise clients and 50 million data points processed daily. • Refactored the frontend framework to improve responsiveness, shipping updates in 6 weeks via jQuery and JavaScript, supporting the development of high-performing web applications, migrating from legacy codebase to modular architecture, and enabling the development team to deliver features 30% faster. • Delivered a scalable Artificial Intelligence model using scikit-learn and Django, resulting in improved Market Research insights across 10
  • IBM
    Junior Engineer
    IBM
    Feb 2016 - Aug 2016 (7 months)
    • Integrated Python and JavaScript codebases, shipping a scalable market research tool called MarketPulse in 12 weeks, supporting 15 services and 500 users, enabling the team to deliver high-quality results and increasing client engagement by 30% through data-driven insights. • Improved data processing efficiency using jQuery, achieving a reduction from 300ms to 100ms in latency, and allowing for faster data analysis across the system, resulting in 2 hours of time savings per week for the 10-member research team. • Developed a system-wide Git version control process, establishing a standardized workflow across 10 teams and 50 engineers, and contributing to the development of scalable systems with a focus on software engineering and systems
Education verified_user 0% verified
  • Brown University
    Bachelor's Degree
    Brown University
    Jan 2013 - Jan 2017 (4 years 1 month)