Reval LogoFind More Talent
DP

Darsh Pathikbhai Patel

Junior Robotics Engineer specializing in SLAM, perception, and embedded motion capture

Tempe, AZGraduate Research Assistant – Herberger Design School, Arizona State University2 years experienceJuniorRoboticsAutonomous VehiclesEducation
ScreenedIdentity Verified

Connect with Darsh

Darsh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

About

Robotics software engineer with hands-on SLAM, ROS2, and distributed multi-robot systems experience. Improved MAST3R-SLAM loop-closure place recognition by changing the ASMK/ASMKS retrieval similarity metric (L2→L1) and validated on 9 TUM sequences, keeping near real-time performance despite a 25–30% retrieval cost increase. Also tuned MoveIt motion planning for a 6-DOF arm (12% higher maze completion rate) and built MQTT mesh communications for ESP32-based AMRs, using Gazebo+Docker and CI-style automation for reproducible testing and deployment.

Experience

Graduate Research Assistant – Herberger Design School, Arizona State UniversityHerberger Design School, Arizona State University
Project Assistant – Dr. Jeffrey Wishart, Arizona State UniversityArizona State University
Engineering Intern – ReonFive Pvt. Ltd.ReonFive Pvt. Ltd.

Education

Arizona State Universitymaster, Robotics and Autonomous Systems (Electrical Engineering Concentration) (2025)
Nirma Universitybachelor, Instrumentation and Control Engineering (Minor in Robotics and Automation) (2023)

Key Strengths

  • Improved SLAM loop-closure robustness by modifying retrieval metric (L2 to L1) while maintaining global consistency safeguards
  • Metrics-driven validation on 9 TUM RGB sequences (ATE, loop-closure consistency, runtime/FPS)
  • Balances robustness vs. false positives via similarity distribution analysis and thresholding
  • Real-time performance optimization under constraints (kept near real-time despite 25–30% retrieval cost increase)
  • ROS2 integration expertise: resolves TF and timestamp mismatches using RViz TF validation, ros time, and message filters
  • MoveIt motion planning debugging and tuning (collision checking resolution, constraints, sampling) improving success rate
  • Delivered measurable reliability gains in motion planning (12% increase in successful maze completions; reduced jerky trajectories)
  • Designs scalable multi-robot communication architectures (MQTT topic hierarchy; heartbeat/status/task messaging)
  • Distributed systems latency/synchronization management via ROS2 QoS tuning, decoupling topic rates, throttling, buffering
  • Simulation-first and reproducible deployment workflow using Gazebo + Docker with automated regression testing

Discover more candidates like Darsh

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Darsh

Darsh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

Contact

candidate@example.com(555) 123-4567LinkedIn Profile
Sign up to view

Languages

English

Skills

Absolute Trajectory Error (ATE)Adversarial node dropout testingArchitecture designASMKAutonomous vehicles (AV) testingBFSBVH skeleton outputC++CalibrationCARLACollision mitigationComplementary filteringComputer visionData aggregationData augmentation