We are simplifying renewable energy asset management by offering purpose-built technologies and services that help our customers deliver industry-leading productivity, efficiency and returns. Every day we help our customers unlock the power of their data so they can make confident, informed decisions. Our team brings deep industry experience and a willingness to get our hands dirty to first understand and then solve customer problems on the ground. Learn more about our best-in-class technologies and how we’re helping the renewable energy industry realize its potential.

Carnegie Mellon University

Birla Institute of Technology and Science, Pilani

Solving core autonomy problems across the C++ stack for autonomous wind-turbine inspection at a scale of 1000s of inspections / month.
- Built out various key drone behaviors, optimized mission planning arbitration for emergent intelligence.
- Led the charge on planning and perception logic for camera-based inspection / lidar-based scene exploration.
- Developed probabilistic point-cloud segmentation/filtering algorithms for semantic scene understanding.
- Led development on graph-based time-sync arch for nanosecond-accurate data association b/w sensors.
- Feature improvements to sensor drivers, controls architecture, and PX4 flight controller codebase.
- Contributed to software architecture design for codebase maintainability and failure-tolerance during operation.

Senior Robotics Autonomy Engineer

Robotics Autonomy Engineer

- Led the flight controls and local planning for the quadcopter fleet to fly aggressively in unseen subterranean environments with degraded state estimation.
- Developed and maintained the codebase (C++/ROS) for the guidance controller, search-based local planner, reference tracking MPC, and Kalman Filter disturbance estimation.
- Team Explorer results: Tunnel (1st place), Urban (2nd place), Finals (4th place)

Flight Controls Lead - DARPA Subterranean Challenge

Developed solvers in C++/GTSAM for nonlinear trajectory optimization, by leveraging sparse graphical inference techniques commonly used in robot SLAM.

Graduate Research Assistant - Biorobotics Lab

Implemented evolutionary algorithms for combined task and motion planning in automated construction.

Research Intern

Worked on high-fidelity simulation in Simulink / Simmechanics to model train vehicle dynamics with both rigid and deformable rail-wheel contact.

Developed numerical models for design optimization and verification of high-tension lines with dampers.

Summer Research Intern - Mitacs Globalink

Led a subsystem of 6 people responsible for the underbody suspension and PID-controlled eddy-braking for the levitating 'OrcaPod'. 
One of 24 global finalists in the SpaceX Hyperloop competition held at SpaceX HQ, CA.