Shawn Ricardo Email & Phone Number

San Jose, Ca, Us

California, United States

San Francisco, California, Us

Lead the technical design, planning, development, testing, and delivery of real-time end-to-end Remote Assistance features, which involves managing a cross-functional team of engineers.- Led a cross-functional, highly-visible initiative that improved a critical, company-wide metric by 50%- Led a cross-functional, highly-visible initiative that reduced the frequency of two critical safety events by 80% that affected company-wide metrics- Designed and implemented an architecture that enables Remote Assistance engineers to develop critical features in a rapid, tightly-scoped, and highly-testable mannerAll of the above accomplishments allow Cruise AVs to drive longer with improved safety within the city of San Francisco.Mentor and grow senior and associate software engineers on the Remote Assistance team.

Palo Alto, California, Us

Building an autonomous vehicle stack to handle 99.99% of traffic situations effectively and, most importantly, safely will take years.Telessist was introduced to bridge the gap between the current state of autonomy and that 99.99% by leveraging a human's decision making ability in order to deliver an amazing driver-less robotaxi experience now.My focus was to develop teleoperation capability vehicle side:- Led a cross-functional effort to develop the architectural foundation for our vehicle to request help in real-time- Landed a high-leverage feature using the above architecture- Analyzed over-the-air communication latency and adapted vehicle behavior in sub-optimal conditions- Encapsulated and transmitted vehicle information to our remote operators in real-time- Translated remote operator requests into input for components of our autonomous stack that include Motion Planning, Route Planning, and Policy Selection.Voyage was acquired by Cruise in March of 2021.

Led the commercialization of PINC AIR, an autonomous aerial robot that identifies inventory in GPS-denied environments, such as warehouses.Hands-on development of core technologies, including: -- Vision & Maching Learning: feature extraction & tracking between images to obtain robot positioning, drift detection, object detection & tracking -- Planning: dynamic trajectory planning using RRTs to avoid collision with static & dynamic obstacles -- Estimation: multi-sensor fusion to obtain precise translation/rotation estimates -- Flight Dynamics: tuning of PID gains, body rates, velocity, acceleration & jerk to obtain smooth flight Directly led multiple commercial deployments at Fortune 10 customer sitesLed the development of software & hardware redundancies in real-time critical systems in order to obtain safe, robust failures & recoveries.Frequently perform flight data analysis to establish sensor performance baselines & to identify abnormal sensor behavior & data flow bottlenecks.Advocate for improved coding practices, including reviews, testing procedures, continuous development procedures & Circle CI utilization.PINC was acquired by Kaleris in June, 2020

Falls Church, Va, Us

Designed & implemented algorithms for high-level behavior, novel swarming techniques, & individual agent autonomy in both GPS & GPS-denied complex urban environments under DARPA's OFFSET program.Deployed a swarm of 50 agents (both air & ground platforms) in military training environments. Agents successfully isolated an urban objective & conducted an urban raid.Developed various agents with unique payloads/capabilities, including radio frequency monitoring, communication modules, image classification of threat systems, stair traversal & GPS-denied exploration (tunnels, houses, buildings)Developed inter-agent tasking that allowed agents to request the help of other agents in order to accomplish an objective, such as neutralizing a threat system.Developed numerous high-level behaviors comprised of low-level capabilities. Behaviors included “Loiter”, “Recon”, and “Sentry”Developed highly modularized platforms, allowing for third-party OFFSET partners, such as Carnegie Mellon, Michigan Tech, & Siemens, to seamlessly integrate a specific function, feature, &/or sensor payload. Technology selected as a "center of excellence" for Northrop Grumman & is displayed at their headquarters in Falls Church, VA.

Master Of Science - Ms, Computer Science

Deep Reinforcement Learning Engineer

Flying Car Engineer / Autonomous Flight

Self-Driving Car Engineer

Bachelor Of Science, Business Administration: Entrepreneurship