https://dwe.ai

• Managing the Electrical, Mechanical, Software, Design, and Business sub-teams• Ensuring deadlines are met for sub-team leads and vehicle testing is regularly conducted.

• Managed Control Systems team to develop motor control and mission planning software• Managed Machine Learning team to develop computer vision pipeline and models for object detection and tracking underwater

• Software developer for underwater autonomous vehicles used for competition and research applications.• In the process of designing custom motor control libraries and PID controllers in Python.• Development of control system using ROS (Robot Operating System).• Developing decision making ROS node utilizing computer vision (YOLOv2) and sensor feedback.• Wrote a sensor library and driver for a Doppler Velocity Log in both C++ and Python• Developed ROS packages to interface with sensors such as cameras, hydrophones, and a dopplervelocity log (DVL) in Python.

• Worked on the ML data management team that was responsible for managing large ML model datasets• Improved metadata storage system (used for quickly searching and accessing big data) by streamliningmetadata interaction• Developed python APIs to facilitate migration of metadata store from BigQuery to new databasesolution• Developed tools to estimate long-term storage cost of BigQuery datasets• Developed tools to measure correlation between BigQuery datasets• Improved developer onboarding experience

• Worked on EBS Direct APIs team which provides APIs for customers to interact with the EBSSnapshots (Backup and Data Protection) service of AWS.• Developed an automated system that detects large amounts of invalid requests to EBS Direct APIs.• System automatically logged metrics, stored/displayed activity data, and cut tickets to the team containing relevant information• The automated system saved 1-3+ hours per ticket for on-call and senior engineers.• Participated in design reviews with senior engineers to vet the workflow design of the project.• Deployed and demoed project in Alpha and Beta phase.

Research and development of a position estimation algorithm to convert accelerometer data from IMU to position data with minimal drift.Research and development of stabilization using LIDAR based range sensors for lunar vehicle.Research and development on IR-camera based computer vision for lunar vehicle localization.Simulation of lunar vehicle control system in Gazebo sim software.

Worked in an Agile/Scrum environment.Developed an IT Management tool to visualize data on VMs, storage clusters, and other services.Developed front-end in React using custom and open-source components.Developed back-end using Django API for pulling data center information.

FIRST FRC Team 3647, Millennium FalconsLead Programmer for 2018-2019 Season

Programming Intern developing education software for students K-12 about learning Computer Science.Summer of 2018