Hi! I'm Jason Li, a Full-stack Software Engineer with over 6 years of experience at Meta. I've been involved in developing the Meta AI Assistant, a product used by over 600 million monthly active users across platforms like Messenger, WhatsApp, Instagram, and a standalone app. My expertise lies in building engaging and reliable features with React, React Native, Node.js, GraphQL, and Python. I enjoy creating robust backend services and seamless user interfaces that significantly enhance user engagement and retention. I have a strong passion for AI, and I've worked on integrating advanced AI models and hybrid retrieval-generation pipelines to improve query accuracy and user satisfaction. I’m also skilled in streamlining CI/CD pipelines, mentoring junior engineers, and supporting global scale rollouts with impressive uptime and reliability. Outside of coding, I thrive sharing knowledge and continuously improving product scalability and performance at a global level.

Jason Li

Hi! I'm Jason Li, a Full-stack Software Engineer with over 6 years of experience at Meta. I've been involved in developing the Meta AI Assistant, a product used by over 600 million monthly active users across platforms like Messenger, WhatsApp, Instagram, and a standalone app. My expertise lies in building engaging and reliable features with React, React Native, Node.js, GraphQL, and Python. I enjoy creating robust backend services and seamless user interfaces that significantly enhance user engagement and retention. I have a strong passion for AI, and I've worked on integrating advanced AI models and hybrid retrieval-generation pipelines to improve query accuracy and user satisfaction. I’m also skilled in streamlining CI/CD pipelines, mentoring junior engineers, and supporting global scale rollouts with impressive uptime and reliability. Outside of coding, I thrive sharing knowledge and continuously improving product scalability and performance at a global level.

Available to hire

Hi! I’m Jason Li, a Full-stack Software Engineer with over 6 years of experience at Meta. I’ve been involved in developing the Meta AI Assistant, a product used by over 600 million monthly active users across platforms like Messenger, WhatsApp, Instagram, and a standalone app. My expertise lies in building engaging and reliable features with React, React Native, Node.js, GraphQL, and Python. I enjoy creating robust backend services and seamless user interfaces that significantly enhance user engagement and retention.

I have a strong passion for AI, and I’ve worked on integrating advanced AI models and hybrid retrieval-generation pipelines to improve query accuracy and user satisfaction. I’m also skilled in streamlining CI/CD pipelines, mentoring junior engineers, and supporting global scale rollouts with impressive uptime and reliability. Outside of coding, I thrive sharing knowledge and continuously improving product scalability and performance at a global level.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Senior Software Engineer at Meta
May 1, 2018 - Present
Developed features for Meta AI Assistant, a cross-platform product launched to over 600 million monthly active users via Messenger, WhatsApp, Instagram, and a standalone app, which boosted daily engagement by 15% and user retention by 20%. Built chat interfaces using React, Next.js, React Native, TypeScript, Relay, and Redux supporting multimodal content, slash commands, and rich rendering, improving feature discoverability by 20%. Created shared UI component libraries across web and mobile, cutting duplicate code by 35% and accelerating feature delivery by 25%. Engineered streaming conversational responses via GraphQL subscriptions and WebSockets, reducing perceived latency by 40% and increasing session length by 18%. Implemented backend GraphQL APIs and services using Node.js, Hack/PHP, Redis, and Cassandra enabling multi-turn dialogue and cross-device continuity, improving continuity by 15%. Integrated voice input with real-time streaming on web and mobile, raising voice feature ado
Software Engineer Intern at Meta
August 1, 2018 - September 2, 2025
Built a generic Python infrastructure for offline prevalence sampling, improving efficiency for 5 teams developing prevalence metrics under different environments. Implemented dynamic chunking to increase space efficiency on chronos machines. Led prevalence migration pipelines for multiple teams including feed integrity and celebrity impersonation projects with zero committed issues. Designed SRT job invalidation automation in PHP for pipeline failures. Enhanced monitoring systems by adding verbose info supporting multiple scenarios to ensure platform reliability.

Education

Bachelor's in Computer Science at Carnegie Mellon University
January 1, 2014 - January 1, 2018

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Media & Entertainment