Mid-level Robotics Researcher specializing in kinodynamic motion planning
Rutgers, USAFall Instructor7 years experienceMid-LevelRoboticsAutonomous VehiclesArtificial Intelligence
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About
Robotics software engineer focused on real-time estimation/control and motion replanning, currently integrating a factor-graph-based estimation/control stack with sampling-based replanning in a ROS environment validated on both MuSHR hardware and MuJoCo simulation. Strong in distributed-system debugging (rosbags/logging, controlled test scenarios) and ROS performance patterns (nodelets, TF/TF2), with prior multi-robot experience from SSL RoboCup using custom UDP protocols.
Experience
Fall InstructorRutgers University
Stow InternAmazon Robotics
Motion Planning InternOutrider Inc.
Teaching/Graduate AssistantRutgers University
Part Time ProfessorInstituto Tecnológico Autónomo de México (ITAM)
Education
Rutgers Universitydoctorate, Computer Science
Instituto Tecnológico Autónomo de México (ITAM)master, Computer Science (2019)
Instituto Tecnológico Autónomo de México (ITAM)bachelor, Computer Engineering (2017)
Key Strengths
Integrating factor-graph estimation/control with sampling-based replanning in ROS
Real-robot and simulation validation (MuSHR + MuJoCo) with end-to-end integration testing
Systematic debugging of distributed real-time robotics via logging/rosbags and controlled test scenarios
Performance-focused integration of prior work into responsive, fast robotic systems
ROS architecture optimization using nodelets for efficient large-message (image) transport
Pose-estimation pipeline using multi-camera ArUco tags with TF/TF2 for reliable frame/pose publishing
Built ROS-to-MuJoCo interface package (sensor publishing + control execution)
Experience with multi-robot comms using UDP over WiFi with a custom protocol (SSL RoboCup)
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