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Daniel Ren

Daniel Ren

Embedded | IOT | Backend | AI | Cloud | DevOps

Technology / Internet

Austin, Travis

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I am a versatile and results-driven software engineer with a strong foundation in Embedded Systems, IoT, Backend Development, AI/ML integration, Cloud infrastructure, and DevOps practices. Over the past 10 years, I’ve helped companies—from startups to established enterprises—bring robust, scalable, and intelligent systems to life.

From developing low-level firmware and real-time IoT solutions to architecting scalable backend services and deploying them on modern cloud platforms (AWS, Azure, GCP), I bring an end-to-end engineering approach. I’m equally comfortable setting up CI/CD pipelines, optimizing microservices, integrating ML models, or building RESTful APIs that power data-driven applications.

My core strengths include:

Embedded C/C++, RTOS, and microcontroller programming (STM32, ESP32, ARM)

IoT platforms (MQTT, BLE, LoRa, AWS IoT Core, Azure IoT Hub)

Backend development in Python, Node.js, and .NET Core

AI/ML workflows and model deployment (TensorFlow, PyTorch, ONNX)

Cloud-native architecture and DevOps (Docker, Kubernetes, Terraform, CI/CD pipelines)

I’m passionate about delivering clean, maintainable code and building systems that are both reliable and forward-looking. I’m now seeking opportunities to collaborate on innovative projects where I can add value through both hands-on engineering and strategic input.

I’d love the chance to discuss how I can contribute to your team’s success. Thank you for considering my application.

Best regards,

Ai integration
Embedded systems
Devops
Software engineer
Backend development
Cloud computing
Iot
Approximate rate: USD$ 50 per hour

Experience

I’m a multidisciplinary Software Engineer with solid experience in Embedded Systems, IoT, Backend Development, AI integration, Cloud Computing, and DevOps. I specialize in designing and implementing full-stack, real-time systems that connect physical hardware with scalable backend infrastructure. My background includes:

Embedded & IoT: Developing firmware and device-level code for microcontrollers (STM32, ESP32, ARM), integrating sensors, wireless protocols (BLE, LoRa, Wi-Fi), and IoT platforms like AWS IoT and Azure IoT Hub.

Backend Development: Building RESTful APIs, microservices, and event-driven architectures using Python, .NET Core, and Node.js.

AI & ML Integration: Deploying ML models to edge and cloud environments, working with TensorFlow, PyTorch, and real-time data pipelines.

Cloud & DevOps: Containerizing applications with Docker, orchestrating with Kubernetes, automating CI/CD pipelines, and managing infrastructure as code using tools like Terraform and GitHub Actions.

With a strong focus on reliability, scalability, and performance, I deliver production-grade solutions that bridge hardware and software across industries.

Education

University of Texas at Austin

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