RM

Robert McKnight

Founder (YC W24) | AI Software Development | Software documentation you can talk to

New York, New York

Invests in

  • Min Investment:

    $40,000.00
  • Max Investment:

    $40,000.00
  • Target Investment:

    $40,000.00

Work Experience

  • Founder

    2023

    YC W24

2022 - 2023

  • Consultant

    2022 - 2023

2020 - 2022

  • Managing Partner

    2021 - 2022

  • Investment Partner

    2020 - 2021

2021 - 2021

  • Summer Associate

    2021 - 2021

2019 - 2020

  • Robotics Engineer

    2019 - 2020

    Building autonomous tractors - Multiplied system throughput 10-fold by optimizing CV and robotics algorithms. - Developed a more efficient algorithm for detecting objects that fixed showstopping delays in detection. - Deployed an end-to-end system that simulated difficult tractor and field conditions and generated performance metrics.

2018 - 2019

  • Software Engineer - Autopilot

    2018 - 2019

    - Combined vehicle sensors with fleet-sourced maps to localize the vehicle to inform control. - Evaluated new sources of fleet information to better inform the localization algorithms. - Coordinated test drivers and engineering stakeholders to collect Real Time Kinematic (RTK) GPS ground truth data to validate ML models and localization systems.

2016 - 2016

  • Flight Software Intern

    2016 - 2016

    • Worked on telemetric data flows between the vehicle and the ground-stations • Revamped a tool to automatically validate defined data flows between the vehicle and the ground

2016 - 2016

  • Autopilot Intern

    2016 - 2016

    • Created stochastic error models for various sensors to quantify their accuracy in real situations • Built a tool to ingest and parse driving data for use in mapping applications • Designed and implemented various simulated scenarios for validation of Autopilot Software

2015 - 2015

  • Software Engineering Intern

    2015 - 2015

    • Analyzed impact of reducing exposure time and increasing ISO to reduce motion blur in images. • Implemented nonparametric filtering in images to reduce noise caused by increased image ISO. • Utilized Kanade–Lucas–Tomasi (KLT) feature tracking to quantify motion in images and Points of Interest. • Synthesized KLT motion and ambient light metrics to extract a new Auto-Exposure routine.

2014 - 2014

  • Interim Engineering Intern

    2014 - 2014

    • Used knowledge of TCP/IP protocols to design and experiment with ways of improving network connectivity. • Designed and tested methods of aggregating multiple wireless data technologies