I’m a software engineer passionate about building reliable systems, developing tooling, and AI-powered applications. I enjoy tackling complex problems with clarity and precision, and I have hands-on experience across backend development, distributed systems, and modern AI workflows.
Most recently, I delivered several core features to Mastra, an open-source TypeScript framework for building AI agents, workflows, and MCP servers — including a PostHog observability exporter, Azure OpenAI integration, improved MCP auth propagation, and multiple developer-experience enhancements.
I also co-created Splinter (https://splinter-app.github.io/), a serverless ingestion pipeline that transforms unstructured data into embeddings for AI/ML applications.
Previously, I contributed to Mozilla Firefox, landing patches in features such as Picture-in-Picture, Reader Mode language detection, Private Browsing UI, and enterprise policy tooling, with work appearing in official Firefox release notes.
I also have experience building RAG-based AI chatbots, combining structured and semantic retrieval for accurate, context-aware responses.
Fully open to remote, hybrid, or in-office roles. Eligible to work in Canada without sponsorship.
I'm a software engineer passionate about solving complex challenges with creativity and precision. With hands-on experience across a broad range of technologies, I thrive on continuous learning and building impactful solutions. Most recently, I co-created Splinter(https://splinter-app.github.io/), an open-source pipeline that simplifies unstructured data ingestion for AI/ML workflows. I’ve also contributed to the Mozilla Firefox browser, landing patches in key features such as Picture-in-Picture, Reader Mode, Private Browsing Mode, and about:policies.
Also have experience building RAG-based AI chatbots that combine structured and semantic retrieval to deliver accurate, context-aware responses.
I’m fully available and open to remote, hybrid, or in-office roles. I’m eligible to work in Canada and don’t require sponsorship.
I'm a software engineer passionate about solving complex challenges with creativity and precision. With hands-on experience across a broad range of
technologies, I thrive on continuous learning and building impactful solutions. Most recently, I co-created Splinter(https://splinter-app.github.io/),an open-source pipeline that simplifies unstructured data ingestion for AI applications. I’ve also contributed to the Mozilla Firefox browser, landing patches in key features such as Picture-in-Picture, Reader Mode,Private Browsing Mode, and about:policies. Also have experience building RAG-based AI chatbots that combine structured and semantic retrieval to deliver accurate, context-aware responses.
I’m fully available and open to remote, hybrid, or in-office roles. I’m eligible to work in Canada and don’t require sponsorship.
I'm a software engineer passionate about solving complex challenges with creativity and precision. With hands-on experience across a broad range of technologies, I thrive on continuous learning and building impactful solutions. Most recently, I co-created Splinter(https://splinter-app.github.io/), an open-source pipeline that simplifies unstructured data ingestion for AI/ML workflows. I’ve also contributed to the Mozilla Firefox browser, landing patches in key features such as Picture-in-Picture, Reader Mode, Private Browsing Mode, and about:policies.
I’m fully available and open to remote, hybrid, or in-office roles. I’m eligible to work in Canada and don’t require sponsorship.
I'm a software engineer passionate about solving complex challenges with creativity and precision. With hands-on experience across a broad range of technologies, I thrive on continuous learning and building impactful solutions. Most recently, I co-created Splinter(https://splinter-app.github.io/), an open-source pipeline that simplifies unstructured data ingestion for AI/ML workflows. I’ve also contributed to the Mozilla Firefox browser, landing patches in key features such as Picture-in-Picture, Reader Mode, Private Browsing Mode, and about:policies.
I’m fully available and open to remote, hybrid, or in-office roles. I’m eligible to work in Canada and don’t require sponsorship.
Hey there! I'm Harold. I am a software engineer with hands-on experience across a broad spectrum of technologies. I thrive on continuous learning and innovation. Most recently, I developed Splinter (https://splinter-app.github.io/), an open-source pipeline designed to simplify the ingestion and processing of unstructured data for AI/ML workflows.
Remote: Yes
Willing to relocate: Yes
Technologies: Ruby, Python, TypeScript, JavaScript, React, Node.js, Express, LangChain, NumPy, LangExtract, BautifulSoup, Mastra, OpenAI API, PostgreSQL, MongoDB, PineconeDB, Docker, DigitalOcean, Nginx, AWS (CDK, S3, Lambda, Batch, API Gateway, DynamoDB, EC2, ECS), Phabricator, Mercurial, Git/GitHub.
Résumé/CV: https://haroldcamacho.dev/Harold-Camacho-Resume.pdf
Email: On résumé
Website: https://haroldcamacho.dev/
I’m a software engineer passionate about building reliable systems, developing tooling, and AI-powered applications. I enjoy tackling complex problems with clarity and precision, and I have hands-on experience across backend development, distributed systems, and modern AI workflows.
Most recently, I delivered several core features to Mastra, an open-source TypeScript framework for building AI agents, workflows, and MCP servers — including a PostHog observability exporter, Azure OpenAI integration, improved MCP auth propagation, and multiple developer-experience enhancements.
I also co-created Splinter (https://splinter-app.github.io/), a serverless ingestion pipeline that transforms unstructured data into embeddings for AI/ML applications.
Previously, I contributed to Mozilla Firefox, landing patches in features such as Picture-in-Picture, Reader Mode language detection, Private Browsing UI, and enterprise policy tooling, with work appearing in official Firefox release notes.
I also have experience building RAG-based AI chatbots, combining structured and semantic retrieval for accurate, context-aware responses.
Fully open to remote, hybrid, or in-office roles. Eligible to work in Canada without sponsorship.
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