I build reliable software for industrial operations, laboratory workflows, and real-time products.
Lima, Peru · Open to backend, platform, and applied-technology opportunities
Full Stack Engineer at Marcobre S.A.C., developing software for mining and industrial environments. My work spans Spring Boot microservices, Angular applications, Azure deployments, and the systems that support traceable, day-to-day operations.
I combine enterprise application development with hands-on experience in SampleManager LIMS, industrial data capture, systems programming, and applied machine learning. I am especially interested in problems where software must interact with real processes, devices, or scientific data.
- Design and development of backend services and web applications for mining and industrial use cases.
- Laboratory information workflows with SampleManager LIMS: sample registration and traceability, analytical processes, result entry, validation, and reporting.
- Cloud deployment and delivery using Azure, Docker, relational databases, and event-driven components.
- Industrial integrations in Rust, including scale communication and operational data capture.
- Real-time systems using OAuth 2.0, webhooks, WebSockets, PostgreSQL, and containerized cloud deployments.
- Computer-vision experimentation with Python, MediaPipe, OpenCV, TensorFlow, and PyTorch.
| Project | Engineering focus | Stack |
|---|---|---|
| DaiBot | Multi-tenant streaming bot with OAuth 2.0 PKCE, EventSub webhooks, WebSockets, TTS, PostgreSQL, an OBS overlay, and 43 unit tests | Rust · Axum · PostgreSQL · Docker |
| MiningSmartScale | Smart-scale integration and data capture for mining operations | Rust |
| newposture_detector | Real-time posture detection from video | Python · MediaPipe |
| microservices_java | Microservice architecture and distributed backend experiments | Java · Spring Boot |
| spring-security-complete | Authentication and authorization patterns for Spring applications | Java · Spring Security |
| Portfolio | Personal portfolio and professional presence | Astro |
| steepskynetdotfiles | Reproducible Arch Linux and Hyprland development environment | Shell · JavaScript |
Backend & systems: Java, Spring Boot, Rust, C, C++, Python, Node.js, NestJS
Frontend: Angular, TypeScript, JavaScript, React, Next.js, Astro
Data & integration: PostgreSQL, MySQL, MongoDB, Apache Kafka, REST APIs, WebSockets
Cloud & delivery: Azure, AWS, Docker, Git, Firebase, Render, Supabase
Applied ML: TensorFlow, PyTorch, OpenCV, MediaPipe
Industrial & laboratory: SampleManager LIMS, industrial scale integration, Scaphandre
Environment: Linux, Arch Linux, Hyprland, Neovim, VS Code
- Systems programming and industrial tooling in Rust.
- Linux kernel internals and custom builds.
- Neural networks, deep learning, probability, and applied mathematics.
- Long-term graduate research in applied physics and computational biology, with an interest in deep-learning-assisted protein design.
Universidad de Lima — Systems Engineering
Academic focus included networking, cloud infrastructure, statistics, and software engineering.
I am open to conversations about backend architecture, industrial and laboratory systems, systems programming, and applied ML.