I am a passionate Electronics, AI, and Full-Stack Engineer with over 10 years of experience designing intelligent systems that bridge hardware, software, and cloud infrastructure. My expertise spans embedded firmware development, scalable web applications, cloud-native platforms, and AI-powered solutions.

I specialize in building robust embedded systems using STM32, ESP32, Nordic nRF, AVR, and ARM-based microcontrollers while also developing scalable web platforms with React, Node.js, Django, and cloud technologies like AWS and Kubernetes.

My passion lies in combining Edge AI, real-time systems, and cloud-native architectures to create innovative, scalable, and production-ready solutions. From PCB design and firmware optimization to AI inference pipelines and distributed cloud systems, I enjoy solving complex engineering challenges with precision and creativity.

I’m always exploring new technologies in AI infrastructure, embedded intelligence, cloud automation, and real-time data systems.

const JaneBuro = {
  pronouns: "She | Her",

  code: ["C", "C++", "Python", "Rust", "JavaScript", "TypeScript", "Bash"],

  askMeAbout: [
    "Embedded Systems",
    "AI & Machine Learning",
    "Full-Stack Development",
    "Cloud Infrastructure",
    "Edge AI",
    "IoT Solutions",
  ],

  technologies: {
    embeddedSystems: {
      microcontrollers: [
        "STM32",
        "ESP32",
        "ESP8266",
        "Nordic nRF",
        "AVR",
        "PIC",
        "8051",
      ],

      protocols: ["UART", "SPI", "I2C", "CAN", "BLE", "MQTT"],

      tools: ["FreeRTOS", "PlatformIO", "Arduino", "Embedded Linux"],
    },

    ai_ml: {
      frameworks: [
        "TensorFlow",
        "TensorFlow Lite",
        "OpenCV",
        "LangChain",
        "PyTorch",
      ],

      applications: [
        "Computer Vision",
        "Edge AI",
        "Predictive Maintenance",
        "Anomaly Detection",
        "Signal Processing",
      ],
    },

    frontEnd: [
      "React.js",
      "Next.js",
      "HTML5",
      "CSS3",
      "JavaScript",
      "TypeScript",
    ],

    backEnd: [
      "Node.js",
      "Express.js",
      "Python",
      "Django",
      "Flask",
      "REST APIs",
    ],

    cloud_devops: [
      "AWS",
      "Azure",
      "Docker",
      "Kubernetes",
      "EKS",
      "AKS",
      "Terraform",
      "CloudFormation",
      "GitHub Actions",
      "Jenkins",
      "MLflow",
    ],

    observability: ["Prometheus", "Grafana", "ELK", "CloudWatch", "Datadog"],

    hardwareDesign: [
      "Altium Designer",
      "KiCAD",
      "Eagle",
      "MATLAB",
      "Simulink",
      "Proteus",
    ],

    databases: ["PostgreSQL", "MongoDB", "Redis", "Firebase"],
  },

  architecture: {
    embedded: ["RTOS", "Low Power Systems", "Edge Computing", "IoT"],

    backend: ["Microservices", "Serverless", "Distributed Systems"],

    cloud: ["Multi-Region Infrastructure", "CI/CD", "Infrastructure as Code"],
  },

  currentFocus:
    "Building scalable AI-powered embedded and cloud-native systems.",

  funFact:
    "I can design the PCB, write the firmware, deploy the cloud infrastructure, and train the AI model for the same product 🚀",
};

_ March 2022 - Present_

• Built scalable AI and full-stack cloud applications on AWS using Terraform, CloudFormation, and Kubernetes (EKS).
• Integrated LLMs, vector databases, and computer vision pipelines using Python, TensorFlow, and AI infrastructure tools.
• Automated CI/CD pipelines with Jenkins, GitHub Actions, and MLflow, accelerating deployment speed by 35%.
• Improved observability and incident response using Prometheus, Grafana, and CloudWatch.
• Developed automation scripts for infrastructure provisioning, retraining pipelines, and monitoring systems.

_ June 2021 - March 2023_

• Led Kubernetes infrastructure deployments across AWS and Azure for AI and web workloads.
• Built enterprise-grade CI/CD pipelines using Jenkins, GitLab CI, and Azure DevOps.
• Implemented security and compliance solutions with IAM, RBAC, Vault, and encryption frameworks.
• Reduced cloud operational costs by 22% through autoscaling and infrastructure optimization.
• Automated AI retraining and infrastructure management with Python and Ansible.

_ March 2019 - May 2021_

• Designed highly available AWS and Azure cloud infrastructure using Terraform and ARM templates.
• Managed Docker and Kubernetes workloads for scalable web platforms and APIs.
• Implemented cloud automation workflows and deployment pipelines.
• Enhanced system reliability and scalability for enterprise-grade applications.

2022 - 2026

2020 - 2022

• ⚡ Embedded Systems & Firmware Development
• 🤖 Artificial Intelligence & Edge ML
• ☁️ Cloud Infrastructure & DevOps
• 🌐 Full-Stack Web Development
• 📡 IoT & Real-Time Communication
• 🧠 Computer Vision & Signal Processing
• 🛠️ PCB Design & Hardware Prototyping
• 🔄 CI/CD Automation & Infrastructure as Code

STM32 ESP32 Nordic nRF AVR FreeRTOS UART SPI I2C CAN

TensorFlow TensorFlow Lite OpenCV LangChain LLMs Computer Vision

React.js Next.js JavaScript TypeScript HTML5 CSS3

Node.js Express.js Django Flask Python REST APIs

AWS Azure Docker Kubernetes Terraform CloudFormation

Prometheus Grafana ELK GitHub Actions Jenkins MLflow

Altium Designer KiCAD Eagle MATLAB Proteus

Developed an AI-powered embedded monitoring system using ESP32, TensorFlow Lite, and OpenCV for predictive maintenance and anomaly detection.

Built scalable AI infrastructure on AWS using Kubernetes, Terraform, and CI/CD automation for enterprise-grade deployments.

Designed embedded firmware and cloud dashboards for real-time sensor monitoring and industrial IoT applications.

Created real-time image processing and object detection systems optimized for edge devices and embedded hardware.