10.07.2025 aktualisiert
JH
100 % verfügbar
IOT, Full-stack, DevOps, AI developer
Frankfurt am Main, Deutschland
Deutschland
Technische Universität München (TUM)Skills
APIsAgile MethodologieKünstliche IntelligenzAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3ArduinoComputer VisionAtlassian JiraAutomatisierungMicrosoft AzureCloud ComputingDatenbankenContinuous IntegrationSchwingungen
? Technical Skills
? Experience Highlights
? Soft Skills & Work Habits
- IoT Development:
- Proficient with microcontrollers and boards like ESP32, ESP8266, Raspberry Pi, Arduino
- Hands-on experience with sensor integration (DHT22, MPU6050, Soil, PIR), actuators, and industrial protocols (MODBUS, MQTT, RS-485)
- Built real-time monitoring systems with MQTT, Node-RED, and cloud dashboards (ThingsBoard, AWS IoT, Azure IoT)
- Full-Stack Development:
- Frontend: React.js, Next.js, Vue.js, TailwindCSS
- Backend: Node.js, Express, Python (Flask, FastAPI), Java Spring Boot
- Database: MongoDB, PostgreSQL, MySQL, Firebase
- Real-time systems with WebSockets, Socket.io
- Artificial Intelligence & Machine Learning:
- Built models using scikit-learn, TensorFlow, PyTorch
- Experienced in predictive maintenance, anomaly detection, and computer vision (OpenCV, YOLO)
- Deployed ML models into edge devices (e.g., Raspberry Pi with AI inference) and web APIs
- DevOps & Automation:
- Containerization with Docker, orchestration with Docker Compose
- CI/CD pipelines using GitHub Actions, GitLab CI, and Jenkins
- Cloud deployments with AWS (EC2, S3, Lambda), DigitalOcean, VPS
- Infrastructure as Code using Terraform, Ansible
- Monitoring and alerting via Prometheus, Grafana, UptimeRobot
- API Development & Integration:
- Designed and consumed RESTful APIs, GraphQL, and Webhooks
- Integrated with third-party services (Twilio, Stripe, Firebase, Google APIs)
? Experience Highlights
- ✅ Developed a Smart Industrial Monitoring System that collects sensor data via ESP32 and publishes to a cloud dashboard via MQTT. Added ML model to detect abnormal vibration patterns.
- ✅ Built a real-time web dashboard for IoT data visualization using React, Express, and MongoDB with user login, alert settings, and data history.
- ✅ Deployed multiple projects using CI/CD pipelines, Docker containers, and cloud services ensuring smooth and automated deployments.
- ✅ Integrated AI modules for plant disease detection, smart fan control, and camera-based intrusion detection using edge ML on Raspberry Pi.
? Soft Skills & Work Habits
- Strong problem-solving skills and ability to work independently
- Excellent communication with technical and non-technical stakeholders
- Agile development experience, team collaboration using Git, Jira, Trello
- Time zone flexibility (experience working with US, EU, and Asia-based teams)
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2020
Sprachen
DeutschMutterspracheEnglischverhandlungssicher