I'm a software engineer with a background in law and business (JD/MBA), now focused on hands-on engineering for cloud infrastructure, developer tooling, and AI-powered applications. I enjoy architecting reliable systems and have experience with backend development and open-source contributions.
Most recently, I contributed to Mastra, an open-source TypeScript framework for AI agents and workflows. I focused heavily on integrations and reliability: I built the PostHog observability exporter to bridge OpenTelemetry spans with AI analytics, implemented the Azure OpenAI provider with OAuth2 token caching, and resolved critical state propagation issues within Model Context Protocol (MCP) workflows.
I also created Nimbus (https://nimbusnlp.github.io/), an open-source framework that simplifies deploying lightweight NLP models to AWS. It utilizes a TypeScript CLI and AWS CDK to automate the provisioning of serverless infrastructure (Lambda via Docker), reducing deployment time from hours to minutes.
Previously, I contributed to Mozilla Firefox, enabling extension developers to manually trigger update checks to accelerate the delivery of security patches, alongside safeguards to prevent keyboard shortcut conflicts.
I also have experience building AI agents and RAG-based applications.
I am looking for remote or hybrid work in NYC or CT.
Remote: Yes
Willing to relocate: No
Technologies: TypeScript, JavaScript, Node.js, React, AWS (CDK, Lambda, API Gateway, S3, ECS), PostgreSQL, MongoDB, Docker, Python, OpenAI API, LangChain, Mastra, Ruby, Sinatra.
Résumé/CV: Available by request
Email: rtlo9962@gmail.com
I'm a software engineer with a background in law and business (JD/MBA), now focused on hands-on engineering for cloud infrastructure, developer tooling, and AI-powered applications. I enjoy architecting reliable systems and have experience with backend development and open-source contributions.
Most recently, I contributed to Mastra, an open-source TypeScript framework for AI agents and workflows. I focused heavily on integrations and reliability: I built the PostHog observability exporter to bridge OpenTelemetry spans with AI analytics, implemented the Azure OpenAI provider with OAuth2 token caching, and resolved critical state propagation issues within Model Context Protocol (MCP) workflows.
I also created Nimbus (https://nimbusnlp.github.io/), an open-source framework that simplifies deploying lightweight NLP models to AWS. It utilizes a TypeScript CLI and AWS CDK to automate the provisioning of serverless infrastructure (Lambda via Docker), reducing deployment time from hours to minutes.
Previously, I contributed to Mozilla Firefox, enabling extension developers to manually trigger update checks to accelerate the delivery of security patches, alongside safeguards to prevent keyboard shortcut conflicts.
I also have experience building AI agents and RAG-based applications.
I am looking for remote or hybrid work in NYC or CT.