https://www.southparkcommons.com/founder-fellowship

347GSoftware development and algorithm research for machine learning methods applied to robotics.Working on research and technology development, focusing on creating robust software for autonomy, intelligent manipulation, and mobility.EELS Project Member - Locomotion Lead - Autonomy (Firmware, Controls, Motion Planning, Optimization, Reinforcement Learning)

Lead a technical team responsible for architecture, system design, and implementation of robust robotics software pipelines. Helped hire and build out a core part of the robotics, software, and additive teams, growing from around ~150 to >1200 employees Focusing on robot agent planning, control, decision-making, machine learning, RTOS, and simulation algorithm development.

Robotic systems software development for autonomy, planning, decision making, machine learning, and real-time systems.

Developing computer vision and robotic autonomy pipelines for the world's largest metal 3D printers.

- Implemented various CNN architectures for real-time wet road segmentation and map generation in various lighting conditions- Developed longitudinal and lateral control pipeline for robot path tracking- Constructed a novel motion planning algorithm to allow the system to avoid or slow-down through adverse map areas, and minimize the time taken to reach the goal location- Integrated and deployed multiple interacting software pipelines to physical hardware, and integrated various unit tests to ensure the system behaved as expected- Went from concept to functioning platform of a mobile robot system through extensive systems engineering processes

▪ Developed semi-active suspension control system software pipeline▪ Implemented various control algorithms, benchmarked them within Simulink, and integrated them with a microcontroller over CAN bus▪ Developed digital signal processing and filtering software tools for various sensors

- Led a team of 35 engineering students through the design, manufacturing, testing, and competition with an open-wheel formula style racecar- Placed 6th Overall, at FSAE Lincoln, out of 80 Teams- Met with subsystem leaders to determine goals for vehicle design and discuss deadlines- Increased team budget by $40,000 for the 2019 season- Implemented effective technical on-boarding methods for new members- Maintained relationships with department and university officials, along with industry sponsors to ensure adequate resources are available for vehicle construction- Organize deadlines and plans of work for meaningful communication of goals between team members

- Tire data analysis- Selection of kinematics and overall vehicle parameters- Validate vehicle performance through testing with various sensors and evaluating vehicle set-ups- Vehicle model and lap time simulator constructed within Dymola environment- Signal processing with various filtering techniques and frequency domain methods- Supervise suspension team members, organize weekly meetings, and ensure deadlines are met

- Designed composite and aluminum suspension components for weight minimization- Develop FE models for component optimization- Created from scratch software tools with functional GUIs to calculate vehicle load transfer and tire contact patch forces- Utilize Instron machine for validation of computer models and calculations- Fixture and jig design focused on minimizing errors during the manufacturing process- CNC programming and manufacturing of various suspension components out of various aluminum alloys

▪ Developed software for vehicle dynamics models to explore early development and characterize performance▪ Constructed and analyzed multi-body dynamic models, including flex-body components using Altair MotionView▪ Implemented digital signal processing and frequency domain analysis techniques to evaluate vehicle dynamic responses▪ Performed sensitivity analyses of vehicle parameter design spaces, and interpreted data to communicate important variables