# Ron Ulric Domingo > Principal Robotics Software Engineer at Blue River Technology Location: San Francisco, California, United States Profile: https://flows.cv/ronulricdomingo ## Work Experience ### Principal Robotics Software Engineer @ Blue River Technology Jan 2026 – Present | Santa Clara, CA ### Senior Robotics Software Engineer @ Blue River Technology Jan 2023 – Jan 2026 | Sunnyvale, California, United States ### Robotics Software Engineer @ Blue River Technology Jan 2022 – Jan 2023 | Sunnyvale, California, United States ### Senior Robotics Software Engineer | Technical Program Owner @ Neato Robotics Jan 2021 – Jan 2022 | San Jose, California, United States ◦ Deploying new algorithms and bug fixes on the D8, D9, and D10 series robots to improve robot navigation, significantly contributing to path planning, maneuver tuning, intelligent map placement, obstacle collision prediction, and zone cleaning. ◦ Writing the engineering and design specifications for Neato’s newest features. Actively collaborating with all stakeholders, including product, UX, QA, and engineering to flesh out specifications prior to development. ◦ Overseeing and contributing to the development of the Quick Boost and Multi-Zone cleaning features. Previously oversaw the final stages and release of the single zone cleaning feature and flagship D9/D10 robots. ◦ Managing a fully cross-functional team of 9 engineers and 3 embedded QA members to develop the next generation features for the Neato robot lineup. ### Robotics Software Engineer @ Neato Robotics Jan 2020 – Jan 2021 | San Jose, California, United States ◦ Integrated a new sensor, a ToF camera, along with its object detection CNN into the core robot code. Created new processes and services to capture then process data and connected the information using ZeroMQ. ◦ Designed and implemented the algorithms to dynamically map objects detected by the ToF camera on a new virtual map to supplement the current Lidar sensor and improve the robot’s obstacle avoidance. ◦ Halved the instances of robot collisions into obstacles by fixing bugs in the forward prediction algorithm and tuning the robot maneuvers. ### Machine Learning Engineer @ ClimateAI Jan 2019 – Jan 2020 | Stanford, California, United States • Built, trained, and tested various deep CNNs in Tensorflow to research their capabilities in improving seasonal climate forecasting. • Automated raw data downloads and preprocessing before storing the preprocessed files onto AWS S3 servers. ### Autonomous Vehicles Software Engineering Intern @ Renault-Nissan-Mitsubishi Jan 2019 – Jan 2019 | Santa Clara, California • Developed a ROS node that ingests preprocessed Lidar point clouds and outputs the visible area around a vehicle. • Designed a compressed representation of visible areas in order to efficiently transmit the data through ROS messages to other vehicles, the trajectory planner, and the decision maker. • Created a visible area object that can be queried for trajectory planning and decision making, as well as fused with other vehicles to extend a vehicle's visibility beyond its line of sight. • Integrated the visibility space ROS node into the existing trajectory planner. ### Backend Software Engineer @ ClimateAI Jan 2018 – Jan 2019 | Stanford, CA • Managed all aspects of the company's AWS account, from the creation and deployment of multiple AWS instances (EC2, S3, Glacier) to user credentials for all employees. • Developed Python scripts to automate data preprocessing from raw NetCDF climate data to usable inputs for the machine learning models. ### Software Research and Advanced Engineering Intern @ Ford Motor Company Jan 2018 – Jan 2018 | Palo Alto, California • Prototyped an in-car geofencing system and telemetry logger on Raspberry Pis connected to a vehicle’s OBD port that pushed live data from vehicles to a custom-built cloud platform on AWS. • Created an online geofencing platform on AWS that enabled users the ability to create, modify, or delete both geofences and vehicles while automatically updating data to all live connections. • Wrote RESTful APIs in Python for the frontend to interface with the MongoDB database and the live websocket connections from the vehicles. • Architected the client/server communication protocol between vehicles and server through event-driven Python websockets. ### Backend Software Engineering Intern @ ClimateAI Jan 2017 – Jan 2018 | Stanford, CA • Streamlined the geospatial querying of climate data by designing and implementing a geospatial database on MongoDB to hold asset data and climate models originally stored in static NetCDF files. • Created unit tests for a web app running on Flask and Docker. ### Engineering Intern - Robert Bosch Start-up Platform GmbH @ Bosch Jan 2017 – Jan 2017 | Reutlingen Area, Germany • Prototyped a self-contained and automated air filtration system that is composed of a live moss filter, an Arduino microcontroller, temperature and humidity sensors, lights, fan, and watering system. • Developed basic control logic on Arduino and integrated temperature and humidity sensor data, through UART and I2C protocols, to actuate peripheral devices. ### Software Engineering Intern – High Performance Computing & Informatics Office @ The National Institutes of Health Jan 2013 – Jan 2016 | Bethesda, MD • 2016 Project: Created a web-based, automated curation and annotation process for analyzing unknown plasmid genomic sequences for the National Institute of Drug Abuse through PHP and Java scripts. • 2015 Project: Partnered with the National Cancer Institute to investigate the benefits of storing terabytes of Lymphoma cancer mutation data in various NoSQL databases versus traditional relational databases. • 2014 Project: Integrated existing DNA sequence alignment algorithms into the National Institute of Drug Abuse’s plasmid PostgreSQL database and web platform. • 2013 Project: Helped create an NIH security compliant Linux installation disk to streamline Linux OS installations for new lab researchers. ## Education ### Master of Science - MS in Electrical Engineering Stanford University ### Bachelor of Science - BS in Electrical Engineering Stanford University ## Contact & Social - LinkedIn: https://linkedin.com/in/ron-ulric-domingo-888779153 --- Source: https://flows.cv/ronulricdomingo JSON Resume: https://flows.cv/ronulricdomingo/resume.json Last updated: 2026-03-29