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jlmayorgaco/README.md

Hi ๐Ÿ‘‹, I'm Jorge Luis Mayorga Taborda

Senior Full-Stack Engineer โ€ข Researcher in Robotics, Control & Power Systems โ€ข ML for Science

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๐ŸŒ Connect With Me


๐Ÿง‘โ€๐Ÿ’ผ Professional Identity

I am a Senior Full-Stack Engineer (specialized in advanced Frontend architecture) and a Research Engineer working at the intersection of:

  • Web Engineering โ€ข Full-Stack โ€ข Frontend (Senior)
  • Distributed Control โ€ข Robotics โ€ข Multi-Agent Systems โ€ข UAVs
  • Power Systems โ€ข PMUs โ€ข Real-Time Estimation โ€ข FPGA Prototyping
  • Machine Learning for Science โ€ข Spectral & Graph-Based Control
  • Bibliometrics โ€ข Scientific Automation โ€ข Research Tooling

My mission is to build a strong engineering + research portfolio toward a future PhD in Japan (Control, Robotics & Intelligent Systems).


๐ŸŽ“ Education

๐ŸŽ“ Master in Robotics & Industrial Automation โ€” Universidad Internacional de Valencia (VIU)

Focus: PLC/SCADA, industrial automation, robotics, sensing, control, smart manufacturing.

๐ŸŽ“ Master in Big Data & Artificial Intelligence โ€” Universidad Isabel I & Structuralia

Focus: machine learning, big data engineering, cloud architectures, data pipelines, analytics.

๐ŸŽ“ Master in Electronics & Computer Engineering โ€” Universidad de los Andes (Uniandes)

Focus: embedded systems, advanced electronics, digital communications, computer architectures, control systems.

๐ŸŽ“ B.Eng โ€” Electrical / Power / Control Engineering

Foundations in power systems, classical & modern control, electronics, telecommunications, and automation.


๐ŸŽฏ Current Research Focus

PhD Track: Distributed Control, Graph LQR, Power Systems, Multi-Agent Robotics, Scientific Computing
Goal: build a robust portfolio for applications to leading Japanese research universities.


๐Ÿ”ญ Current Research

๐Ÿš Distributed Control & Robotics

  • Distributed LQR / Graph-Structured Control
    ๐Ÿ”— https://github.com/YOUR_REPO
    Research on optimal distributed control, spectral kernels, local Riccati solvers, and graph-mode shaping.

  • UAV MAS Control (Formation & Consensus)
    ๐Ÿ”— https://github.com/YOUR_REPO
    Multi-agent UAV behaviors using graph-based consensus, kernel control, and MAS-inspired architectures.

  • Hyper-Redundant Robotics (5000 DoF vision)
    MAS-inspired architectures โ†’ distributed actuation โ†’ graph-based control laws.


โšก Power Systems & PMUs


๐Ÿ“š Bibliometrics & Scientific Tooling


๐Ÿง‘โ€๐Ÿ’ป Senior Full-Stack & Frontend Engineering

๐Ÿงฉ Tech Focus

  • Frontend: Angular, React, Next.js, TypeScript
  • Backend: Node.js, NestJS, Express
  • APIs: REST, GraphQL
  • DevOps: Docker, Linux, CI/CD
  • Databases: PostgreSQL, MySQL, MongoDB
  • Cloud: GCP, Azure
  • AI Integration: LLM workflows, automation, embeddings, semantic search

๐Ÿ—‚๏ธ Featured Engineering Projects

๐Ÿงฎ Defensa Tributaria โ€” LegalTech Platform

  • Next.js + NestJS + Stripe/Wompi + Zoho CRM + Calendly
  • Full automation for payments, invoicing, CRM, and scheduling
    ๐Ÿ”— https://github.com/YOUR_REPO

๐Ÿ›’ Bubble SkinCare โ€” E-Commerce with Gamification

๐Ÿญ AMS IoT Dashboard


๐Ÿ› ๏ธ Languages & Tools

๐Ÿง‘โ€๐Ÿ’ป Frontend & Full-Stack

๐Ÿง  Control, Robotics & ML

โš™๏ธ DevOps & Databases


๐Ÿ“Š GitHub Stats

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  1. fpga-kalman-filter fpga-kalman-filter Public

    This project aims to explore and compare different Kalman filter architectures and their performance on FPGA platforms. The focus is on two main applications: IMU sensor fusion for quadcopters and โ€ฆ

    VHDL 22 5

  2. r-biblio-synth r-biblio-synth Public

    This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomโ€ฆ

    PostScript 2

  3. py-power-systems-frequency-estimator-open-bench py-power-systems-frequency-estimator-open-bench Public

    OpenFreqBench: An open Python benchmark for power-system frequency and ROCOF estimators. Includes classic to modern methods, IEEE/IEC test scenarios, synthetic + IEEE 13/39/8500-node systems, and eโ€ฆ

    Python 3 1