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About
Robotics intern at the University of Delaware who built and debugged ROS2-based multi-robot coordination systems, focusing on real-time reliability (timestamp alignment, latency/jitter instrumentation, QoS/executor tuning). Also improved SLAM stability by fixing LiDAR/encoder synchronization and tuning state-estimation parameters, with a simulation-first workflow using Gazebo and Docker/CI for reproducible deployments.
Experience
Cooperate Robotics Lab Robotics InternUniversity of Delaware
Data Engineering AssociateAccenture Solutions Pvt Ltd
Control Systems Intern (Machine Handling Systems)Difacto Robotics and Automation Pvt Ltd
Robotics InternAssemtica Robotics Pvt Ltd
Education
University of Delawaremaster, Robotics (2025)
KLE Technological Universitybachelor, Automation and Robotics (2022)
Key Strengths
End-to-end debugging of multi-node ROS2 robotic systems (timing, latency, synchronization)
Designing modular sensing/estimation/control architectures with buffered data alignment
Stabilizing real-time control behavior by instrumenting callback times, loop frequency, and message latency
Multi-robot coordination and distributed communication design (common frames, timestamps, message interfaces)
SLAM performance improvement via sensor time alignment, estimator noise tuning, and loop-closure validation
Simulation-first validation in Gazebo and node-level testing prior to full integration
Reproducible development/deployment using Docker and basic CI build/sanity-check automation
Reference Highlights
Strongly Recommended
Strong technical abilities in robotics software
Comfortable developing and debugging ROS 2 systems
Solid understanding of software-hardware interaction
Systematic problem-solving approach
Methodical real-time debugging
Effective at identifying latency/synchronization/performance bottlenecks
Optimizes with real-world constraints in mind (sensor noise, execution timing)
Strong experience with multi-robot and distributed systems
Proactively addresses latency and data consistency issues
Collaborates very well with hardware teams
Bridges software and hardware effectively
Adapts quickly in fast-paced, hands-on environments
Prioritizes integration issues well
Iterates efficiently during bring-up and testing
Reliable in collaborative environments
Delivers stable solutions
Valuable contributor to robotics software teams
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