Doug de Jesus
Software engineer with 9 years experience. Focused on backend, ML, and robotics.
About Me
I’m a software engineer with a passion for robotics, computer vision, and building systems that interact with the real world. I also have an interest in education and making coding accessible to all.
I currently work at Amazon Robotics, where I develop software that manages and coordinates fleets of autonomous mobile robots across global fulfillment centers.
With over 9 years of experience as a backend software engineer, I have contributed to teams at companies big and small. At Facebook, I trained machine learning models to fight spam and other forms of abuse, using data from billions of users. At Codecademy, I was a leader in the engineering organization and established development practices as we tripled in size.
After years as a generalist, I pursued a graduate degree to specialize in robotics and AI. I’m now seeking opportunities where I can apply that expertise to meaningful, technically challenging problems—whether in advanced robotics, computer vision, or mission-driven tech that makes a positive impact.
Download my resumé as a PDF.
- Autonomous navigation
- Robot perception
- Artificial intelligence
- Space exploration
Experience
- Maintain and enhance internal tools used by global operations teams to monitor, manage, and troubleshoot robotic drive fleets across Amazon fulfillment centers.
- Lead the migration of critical services to a new load balancing framework.
- Develop and automate multi-region deployment pipelines to streamline alarm configuration across services, environments, and global warehouse sites.
- Led development and technical design of several new services, each spanning multiple engineering teams, from conception to deployment.
- Established engineering best practices, code review processes, training and mentorship programs, and hiring practices. Mentored engineers throughout the organization.
- Designed and improved backed services for payments, subscriptions, data tracking, course catalog, content management, search, and remote code evaluation.
- Implemented a delayed payment trial model that drove an increase of over $1M in annual revenue. Reworked data models, access control, and subscription lifecycle management.
- Transformed the course catalog from a static list to a dynamic, tag-based system with sorting and filtering. Implemented caching for fast performance and scalability.
- Created a machine learning-driven recommendation service from scratch.
- Built systems, tools, automation, and machine learning to defend against spam and abuse.
- Automated the deployment of weekly retrained ML models to reduce manual effort.
- Implemented a graph embedding covering >1 billion users that was used to improve training data quality, extract new features, and increase classifier recall.
- Helped mitigate a security breach affecting 50 million users.
- Improved incident response time by 90% by adding anomaly detection around reports.
- Developed enterprise software for royalties accounting and IP management.
- Led development of a data import service that processes >100k sales transactions at a time.
- Refactored extensive legacy codebase to improve reusability, readability and stability.
Education
- 4.0 GPA
- Relevant coursework:
- Robot Localization and Navigation
- Robot Perception
- Networked Robotics Systems, Cooperative Control and Swarming
- Interactive Medical Robotics
- Computer Vision
- Machine Learning
- Deep Learning
- Real-time Embedded Systems
- 3.6 GPA
- Specialization in Computing
- Minor in Film, Television, and Digital Media