My core expertise spans React, TypeScript, Node.js, AWS including serverless architecture, CloudFormation, S3, CloudFront, API Gateway, RDS, IAM, and multi-account administration. I actively oversee cloud costs, performance, and resource efficiency, ensuring systems remain scalable while staying budget-conscious. Alongside AWS, I also manage and deploy workloads in Google Cloud, working with both environments to ensure reliability and operational excellence. My work also includes analytics and experimentation tooling, using Mixpanel, Google Analytics, and LaunchDarkly to run feature rollouts, measure user behavior, manage experiments, and guide data-driven decisions. If frequently collaborate with product and engineering teams to implement progressive releases, monitor platform health, and optimize user flows. In recent years, I have integrated AI technologies deeply into my development workflow, building LLM-powered features, creating AI-connected backend pipelines, leveraging MCPs, conducting product tests, and applying AI to accelerate coding, debugging, and documentation. As an AI advocate, I share best practices with my teams and help elevate engineering efficiency through responsible, modern AI usage. I thrive in roles where I can combine systems thinking, hands-on engineering, mentorship, and architectural decision-making. My strength lies in bridging technical quality with user-centric design, building platforms that are not only scalable and maintainable, but also delightful for users and efficient for the business.

Jerome Lopez Erazo

My core expertise spans React, TypeScript, Node.js, AWS including serverless architecture, CloudFormation, S3, CloudFront, API Gateway, RDS, IAM, and multi-account administration. I actively oversee cloud costs, performance, and resource efficiency, ensuring systems remain scalable while staying budget-conscious. Alongside AWS, I also manage and deploy workloads in Google Cloud, working with both environments to ensure reliability and operational excellence. My work also includes analytics and experimentation tooling, using Mixpanel, Google Analytics, and LaunchDarkly to run feature rollouts, measure user behavior, manage experiments, and guide data-driven decisions. If frequently collaborate with product and engineering teams to implement progressive releases, monitor platform health, and optimize user flows. In recent years, I have integrated AI technologies deeply into my development workflow, building LLM-powered features, creating AI-connected backend pipelines, leveraging MCPs, conducting product tests, and applying AI to accelerate coding, debugging, and documentation. As an AI advocate, I share best practices with my teams and help elevate engineering efficiency through responsible, modern AI usage. I thrive in roles where I can combine systems thinking, hands-on engineering, mentorship, and architectural decision-making. My strength lies in bridging technical quality with user-centric design, building platforms that are not only scalable and maintainable, but also delightful for users and efficient for the business.

Available to hire

My core expertise spans React, TypeScript, Node.js, AWS including serverless architecture, CloudFormation, S3, CloudFront, API Gateway, RDS, IAM, and multi-account administration. I actively oversee cloud costs, performance, and resource efficiency, ensuring systems remain scalable while staying budget-conscious. Alongside AWS, I also manage and deploy workloads in Google Cloud, working with both environments to ensure reliability and operational excellence. My work also includes analytics and experimentation tooling, using Mixpanel, Google Analytics, and LaunchDarkly to run feature rollouts, measure user behavior, manage experiments, and guide data-driven decisions. If frequently collaborate with product and engineering teams to implement progressive releases, monitor platform health, and optimize user flows. In recent years, I have integrated AI technologies deeply into my development workflow, building LLM-powered features, creating AI-connected backend pipelines, leveraging MCPs, conducting product tests, and applying AI to accelerate coding, debugging, and documentation. As an AI advocate, I share best practices with my teams and help elevate engineering efficiency through responsible, modern AI usage. I thrive in roles where I can combine systems thinking, hands-on engineering, mentorship, and architectural decision-making. My strength lies in bridging technical quality with user-centric design, building platforms that are not only scalable and maintainable, but also delightful for users and efficient for the business.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Lead Developer at Asia Product Engineering
January 31, 2018 - May 2, 2023
Lead full-stack development, oversee growth and shop/frontend teams, collaborate with product and engineering to implement progressive releases, monitor platform health, and optimize user flows. Built AI-powered features and backend pipelines to accelerate development and improve reliability.

Education

Bachelor of Computer Engineering at University of Pangasinan
January 11, 2030 - March 1, 2001
Local Area Networking at University of Pangasinan
January 11, 2030 - September 30, 2000

Qualifications

Best Project of the Year (University of Pangasinan)
January 11, 2030 - March 1, 2000
Programmer of the Year (University of Pangasinan)
January 11, 2030 - March 1, 2001

Industry Experience

Software & Internet, Computers & Electronics, Media & Entertainment, Professional Services