AI & Software Engineer · Building intelligent products, end to end.
About · Ecosystems · Applications · Interests · Toolkit
I work at the intersection of software engineering, artificial intelligence and platform operations. My experience spans full-stack applications, machine learning, LLM engineering, DevOps, MLOps and observability, with applications in healthcare, personal care, finance, education, research and industry.
What connects my work is an interest in the complete system: the application people use, the intelligence behind it, and the infrastructure that keeps it running.
- 🧠 AI & ML: applications involving LLM-assisted decision support, medical imaging and smartwatch-based health analysis.
- 🛠️ Software: full-stack development with Python, C/C++, Go and Java, alongside Node.js, Next.js and frontend technologies.
- ⚙️ Operations: DevOps, MLOps and observability as part of the engineering lifecycle.
- 🚀 Products: two data and AI-enabled SaaS ecosystems — Vectrion and DataPlataforms.
- 🔬 Domains: neurocognition, systematic reviews, education, financial workflows and industrial reliability.
- 🌍 Career interests: international opportunities in AI/ML, full-stack and platform engineering.
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Finance · Securitization · AI
A data and AI-enabled SaaS ecosystem for finance and securitization. This work connects my interests in financial applications, data-driven decisions and software platforms. Explore the organization → |
Education · Research · AI
A data and AI-enabled SaaS ecosystem for education and research. This work brings together my interests in digital learning, research workflows and tools that help people work with knowledge. Explore the organization → |
Applications and platforms I have worked on, grouped by the problems they address.
| Application | Problem space |
|---|---|
| LLM-assisted clinical decision support | Using language models to support diagnostic reasoning and clinical decision-making. |
| Medical image analysis | Image-based applications supporting diagnostic workflows. |
| Smartwatch-based health analysis | Using smartwatch data in applications for diagnostic support. |
| Neurocognition platform | Software supporting neurocognitive workflows. |
| Application | Problem space |
|---|---|
| Education platform | Digital tools for teaching and learning. |
| Systematic review platform | Software supporting systematic literature review workflows. |
| Industrial reliability & statistics platform | Reliability and statistical analysis for industrial tools. |
These are the engineering questions and directions that interest me, alongside the application experience above.
| Area | What I want to explore and build |
|---|---|
| LLM & AI engineering | Grounded answers, retrieval-augmented generation, evaluation, uncertainty and useful human-in-the-loop decision support. |
| Machine learning & multimodal AI | Learning from images, text and wearable signals; model evaluation, generalization and interpretability. |
| MLOps | Reproducible experiments, model versioning, deployment, monitoring and feedback across the model lifecycle. |
| DevOps & platform engineering | Delivery automation, reproducible environments and infrastructure that supports reliable application development. |
| Observability | Connecting logs, metrics and traces to understand failures, performance and the behavior of AI-enabled systems. |
| Full-stack & SaaS | Connecting usable interfaces, backend services and data workflows into cohesive products. |
| Statistics & applied research | Reliability analysis, evidence synthesis and the relationship between statistical reasoning and practical software. |
I'm interested in international teams building AI-enabled products, data platforms and dependable software.
- AI / ML Engineering: connecting models with useful application workflows.
- Full-Stack Engineering: building the interface, services and data flows around a product.
- MLOps / Platform Engineering: bringing model operations, delivery and observability together.
My experience combines application development, AI and operational engineering, with exposure to problems across healthcare, finance, research and industry.
Contact me: milton.cm.miranda@gmail.com
For opportunities or collaboration, tell me about your team, the role and the problem you are working on.
Explore my work: Repositories · Vectrion · DataPlataforms
Useful intelligence. Thoughtful software. Systems that work together.