Marco Walther
Consulting Member Of Technical Staff at Oracle
Tracy, California, United States
Summary
👤
Senior🎓
Top SchoolMarco Walther is a seasoned consulting member of technical staff with 13+ years building and operating large-scale cloud and infrastructure services, currently driving Oracle's Visual Builder/Application Builder Cloud Service migrations and dual-architecture (x86-64/ARM64) support. He blends deep systems expertise—Linux/Unix/Solaris, compiler back-ends and low-level optimizations—with full-stack web and integration work in Ruby on Rails, JVM and scripting ecosystems. At Oracle he has managed fleets of thousands of instances and led seamless OS and OCI migrations, while earlier roles at Sun and Siemens reflect a strong compiler and systems-software pedigree dating back to IA-64 work. Outside enterprise clouds he contributes to embedded/robotics open source, adding hardware integration and sensor-driven control to the popular DonkeyCar platform. He’s comfortable at the junction of disparate systems, translating hardware signals and legacy services into reliable, automated infrastructure. Based in Tracy, CA, he brings practical cross-domain problem solving and a penchant for making complex migrations invisible to customers.
14 years of coding experience
18 years of employment as a software developer
MS, CS (Diplom-Informatiker), MS, CS (Diplom-Informatiker) at Technische Universität Dresden
German, English
Github Skills (14)
iot10
embedded10
servo-controller10
cart10
sys10
python10
iot-devkit10
integrations10
system-integration10
hardware-interface10
webcam9
computer-vision9
raspberry-pi8
telemetry8
Programming languages (6)
Github contributions (5)
autorope/donkeycar
Apr 2017 - Aug 2017
Open source hardware and software platform to build a small scale self driving car.
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:57 commits, 2 comments in 3 months
Contributions summary:Marco contributed significantly to the `donkeycar` project by adding support for a Pololu Maestro servo controller and an AStar microcontroller to handle LED blinky lights. They also adapted the drive.py script to work with the Maestro controller and a USB webcam, making the web app self-contained by embedding resources and integrating sensor data, specifically speed and linear acceleration data, into the vehicle's control loop. These changes suggest hardware integration and control system modifications for the autonomous driving platform.
hardwareself-driving-carraspberry-pitensorflowkeras
mw46d/SGVHAK_Rover
Jan 2019 - Nov 2021
Software for SGVHAK rover project.
Contributions:16 commits, 1 PR, 11 pushes in 2 years 10 months
project-roverrover
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