Robert Mcknight

Founder (YC W24)

2023

• Raised $2.6M post-YC to build agentic gen AI applications for technical and non-technical teams. • Created and ran our user interview, multichannel outbound, and sales process across 4 different products and ICPs (developers, banking software directors, AI founders, restoration contractors). • Built a collaborative agentic coding platform to take a user request, find relevant code, spec out a plan, and implement coding changes. Users noted results were better than SOTA coding tools (e.g., Cursor, aider, etc). • Built an open-source code navigation server to help coding agents deeply understand codebases. • Ran a multi-modal, agentic estimate review service for restoration contractors that processed job photos, floor plans, and handwritten notes to deliver up to 20% revenue lift on their insurance claims.

Consultant

2022 - 2023

Managing Partner

2020 - 2022

• Sourced, diligenced, and funded pre-seed start-ups run by undergrad and graduate student founders. • Ran weekly investment meetings and pitches for the Boston team and led recruiting for ~200 applicants.

Summer Associate

2021 - 2021

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.

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.

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

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

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.

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