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ESHWANTH D. G - Robotics Software Engineer in CA, USA

ESHWANTH D. G

Mid-level Robotics Software Engineer specializing in autonomous perception and sensor fusion

HoneywellUniversity at BuffaloCA, USA4 Years ExperienceMid LevelWorks On-Site

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About

Robotics engineer with Honeywell and Tata Motors experience deploying ROS/ROS2 autonomous mobile robot fleets into live factory environments, integrating sensors, safety PLCs, and on-prem services. Known for solving end-to-end latency and stability issues (including network spikes under load) using gRPC, Docker, and improved diagnostics—cutting diagnosis time from hours to minutes and achieving sub-150 ms control response.

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Key Strengths

  • Deployed ROS-based AMR fleet software into a live factory with strict uptime requirements
  • Diagnosed and resolved cross-component latency/stability issues spanning software, sensors, PLC safety, and networking
  • Reduced fault rate and achieved sub-150 ms control response through IPC optimization and gRPC
  • Improved operability by mapping PLC safety faults into ROS diagnostics and enhancing health reporting/logging
  • On-site collaboration with operators to iterate on diagnostics and reduce escalation/diagnosis time from hours to minutes
  • Standardized production deployments via Docker containerization

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Experience

Robotics Software EngineerHoneywell · Jul 2025 – Present
Graduate Research AssistantUniversity at Buffalo · Aug 2024 – Jun 2025part-time
Robotics Software EngineerTata Motors · May 2021 – Jul 2023

Education

University at Buffalomaster, Engineering Science, Robotics (2025)

Languages

English

Certifications

Artificial Intelligence Fundamentals – IBM SkillsBuildAI for Autonomous Vehicles and Robotics – University of Michigan (Coursera)Optimizing TensorFlow Models for Deployment with TensorRT – NVIDIA Deep Learning InstituteVisual Perception for Self-Driving Cars – University of TorontoState Estimation and Localization for Self-Driving Cars – University of Toronto

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ESHWANTH D. GMid-level Robotics Software Engineer specializing in autonomous perception and sensor fusion