Gary Li

Lead Software Engineer

Signifyd

Jun 2021 - Current (5 years 2 months)

• Grew market research capabilities using React and Python, expanding data analysis from 10MB to 1GB, reducing query time from 10 seconds to 3.6 seconds, and increasing data freshness by 570MB per day, resulting in improved insights for 500 enterprise clients. • Launched company-wide software engineering standards using Django, enabling high-quality code submissions across 15 teams, 20 services, and 5000 code reviews, streamlining the development process, and reducing code review time by 2 hours per week. • Owned architecture decisions across the market research platform using Python, driving system design from monolithic to microservices, and ensuring scalability and maintainability for 1000 concurrent users. • Scaled the market research t

Senior Software Engineer

MUFG

Dec 2020 - May 2021 (6 months)

• Accelerated enterprise-wide market research system, called MarketPulse, enabling Artificial Intelligence integration and improved data analysis across 5 teams and 200 users, using React and Django, resulting in 300 hours of manual effort saved per quarter. • Directed architecture decisions across 3 services, developing full-stack applications with Python and React, for the ClientPortal tool, enhancing user experience for 10K daily users and reducing average response time from 3s to 200ms. • Led the migration of legacy systems to a new React-based platform, from monolithic to microservices architecture, for the ResearchHub application, over 6 months, resulting in a reduction of 1200ms in latency and supporting 50K requests per day. • Migra

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Software Engineer

Develop for Good

Jun 2020 - Dec 2020 (7 months)

• Shipped multiple full-stack applications, including MarketPulse, across 50 enterprise clients using React, enabling market research tools to process 10K requests/day, a 5x increase from the initial 2K requests/day, achieving high performance and reliability, and reducing average response time by 30% to 200ms. • Developed a scalable React application, called ResearchHub, from a monolithic architecture to a microservices-based system over 6 months, allowing for easier maintenance and updates, and improving overall system uptime by 20%. • Improved code quality by implementing coding standards and best practices using Python and Django across 5 teams of 20 engineers, resulting in more efficient and readable codebases, reducing the time spent

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Staff Engineer

episource LLC

Jun 2020 - Aug 2020 (3 months)

• Deployed market research tool, InsightTracker, from monolithic architecture to microservices, achieving 10ms latency and supporting 4K requests/day across the system, resulting in a 5x increase in scalability and 2x reduction in maintenance time. • Automated 12 services of data pipelines for MarketPulse, shipping updates daily across the enterprise client base of 500 users using React and Django, enabling real-time market research insights and reducing data processing time from 30 minutes to 5 minutes. • Maintained system-level design and architectural decisions across the 10-member engineering team, driving technical direction for Artificial Intelligence integrations and Market Research tools, such as Predictive Analyzer, and ensuring al

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Junior Engineer

Prism Software

Mar 2020 - Jun 2020 (4 months)

• Integrated 3K requests/day of market research data across 10 enterprise client systems, supporting Artificial Intelligence applications and enabling real-time analytics for 500 users, resulting in improved data-driven decision making • Optimized React components for a full-stack web application, called MarketInsights, shipping a redesigned user interface within 6 weeks, migrating from a legacy jQuery framework to React, and streamlining the development process for a team of 8 engineers • Delivered high-performing, full-stack applications using React and Django, developing 25 new features, achieving a reduction of 120 development hours across 5 services, and enabling the deployment of scalable market research tools for 20 enterprise client

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