An educative YouTube channel started in 2016 with the central objective to offer minimal time framed videos to make robotics understandable. The channel covers tutorial videos on Robot Kinematics, Arduino and Power Electronics. With around half a million views we aim to grow and spread knowledge by creating tutorials on Perception, Deep-Learning and Path-Planning.

Founded Women at Torc - 2022

Co-chair Women at Torc 2022 - 2023

Working in the Robot Software Team to develop various features for Bolt Robot

Achieved autonomous docking by developing a new state in mobility - Fine Alignment. Implemented

Kalman filter to estimate robot pose in relative frame to reduce docking error from 10 cm to 2 cm.

Currently working on a new controller which reduces the time to dock by 50\%.

Single handedly designed and documented the architecture of autonomy service. Collaboratively developed it by employing pair programming. Upper level states - initialize, run, fault, and numerous tasks - travel, pause, play were created.

Added features by extensively creating endpoints for mobility and autonomy using REST API in C++. These features are for both simulation and real world.

Increased robustness of autonomy/mobility by continuously tackling test issues.

Acted as an intern buddy during summer and assisted them to come up to speed.

Working under Professor Pratap Tokekar on Topological Mapping using constrained Sensor data on Crazyflie Drones

Automotive Industry - Control Systems -

Observed the workshop and studied about the control systems in electric cars.

Submitted a report on controls of electric cars to senior systems engineer in automotive industry.