• Architected and deployed autonomous inspection robots at Guddai Darri and a major mining site in Chile, upgrading conveyor belt inspections from bi-weekly to daily, boosting monitoring frequency by 400% to increase anomaly detection and response speed.

• Built and optimized C++ and Python-based APIs and control services interfacing with ROS (Robot Operating System) processing thousands of data points daily for real-time navigation and telemetry.

• Served as technical lead for multi-platform robotic systems, coordinating a team of 8 engineers and 4 interns, overseeing project scoping, delivery timelines, and successful handover of mission-critical solutions.

• Developed backend services for autonomous robot navigation, integrating localization, mapping, and perception data pipelines.

• Integrated and configured ARM64 SoCs (Jetson Nano, Orin) with custom device trees and bootloaders for ROS-based deployments.

• Developed shell scripts and used make files for cross-compilation and deployment.

• Engineered automated CI/CD pipelines (GitHub Actions, CircleCI, Docker) aligned to increase deployment frequency, shorten lead time for changes, and improve recovery from system incidents.

• Designed and tested real-time data processing workflows for 3D LIDAR, thermal imagery, and GPS systems.

• Supported system stability through proactive monitoring, incident response, and robust logging and telemetry solutions.

• Managed Linux-based infrastructure and containerized application deployments for robotic field platforms.

• Established private networking and system monitoring solutions across multi-site testbeds, improving reliability and uptime.

• Streamlined development workflows through DevOps practices and infrastructure automation.

CGPA 3.625, WAM 75%

Awarded with First Division

• A mission-critical orchestration platform enabling real-time mission planning with teach-and-repeat methodology, and ROS-based perception pipelines, delivering daily autonomous inspections at large-scale mine sites.

• Modular sensing kit integrating LiDAR, RTK GPS, thermal cameras, acoustic sensors for robotic inspections, built on Nvidia Tegra SOCs and developed with ISO 10218 safety principles and EMC-tested hardware in mind.

• Integrated 3kW wireless charging systems for autonomous robots, enabling automatic docking, recharging, and continuous mission scheduling without human intervention.

• Designed and supervised internship projects aligned with government grant initiatives, delivering practical R&D in perception fusion, multi-domain sensor calibration, and autonomous robotics.

• Customized boot parameters, device tree overlays, and driver bindings for sensor suites on Nvidia Jetson platforms.

• Designed secure remote-control architecture using ZeroTier mesh for “no config” connections and peer-to-peer routing for ROS telemetry.