Ciudad Apodaca Centro, Nuevo León, México
I'm a Software Engineer Intern at Redcon Automation, building solid foundations in backend, automation, and containers through personal labs and continuous learning — I use Linux daily to understand how software works under the hood, not just the theory.
🔹 End-to-end project ownership: Architecting full-stack web solutions from database to client, refactoring legacy systems under real-world best practices to ensure high availability.
🔹 Technical modernization & infrastructure: Driving the migration of production workloads to modern core stacks while managing cloud environments and internal IT operations.
🔹 Engineering standards enforcement: Embedding automated deployment workflows, continuous integration, and clean code standards into every project lifecycle.
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documentation-as-code
Knowledge Base monorepo – structured learning across stacks. |
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Django + PostgreSQL: account lockout, session enforcement. |
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ops-docker-databases
Homelab sandbox – Docker Compose on bare-metal Ubuntu. |
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Bash automation – modular scripts for maintenance. |
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RacingCars
Java OOP simulator – inheritance, polymorphism. |
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Completed an intensive academic English program and technical TOEFL preparation. Strong focus on Reading, Listening, Speaking, and Writing for academic and professional contexts.
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Official CEPT certification validating B1+ (Intermediate / Upper Intermediate) level per CEFR. Demonstrates ability for technical communication and collaboration in English-speaking professional environments.
Advanced Industrial SMT Production & Process Engineering
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- High-criticality industrial environment: 100% hands-on on a real SMT production line (>$1.5M USD) at UTE.
- SMT line orchestration: Physical PCB assembly pipeline — solder paste printer, Pick & Place machines, reflow oven profiling.
- NXT-III architecture & precision calibration: XY robotic modules (M3 III, M6 III), high-speed heads (H24S, V12, DynaHead). Quality control with ±0.025 mm to ±0.050 mm tolerances, Cpk ≥ 1.33.
- Toil reduction practices: Auto Feeder Maintenance system – cleaning, lubrication, calibration; manual intervention cut from 11 min to 2 min per feeder. Vacuum metrics at -90 KPa.
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- Host: MateBook D15 (AMD Ryzen 7 5700U, 8 Cores / 16 Threads)
- Memory: 16GB RAM | 512GB NVMe Storage
- OS: Ubuntu Server 24.04 LTS (Bare-metal)
- Shell & Environment: Zsh, Kitty, LazyVim, LazyDocker, LazyGit