# RareΘ™ T. Gosman > Software Engineer at Athelas Location: San Mateo, California, United States Profile: https://flows.cv/rare πŸ‡·πŸ‡΄ πŸ‡¨πŸ‡¦ Mechatronics Engineer from Ontario. My goal is to channel the creative process of tinkering into making meaningful change in the world. Over my 10-year career I've been privileged to work across the spectrum: from scrappy startups in Waterloo, to well-funded startups in Palo Alto, to big tech and beyond. I've helped build healthcare solutions that bring hospital-grade diagnostics into homes, created systems to make our cities smarter and more efficient, and worked on electric vehicles that are shaping the future of transportation. If you're passionate about something, want to make a splash, or just want to grab coffee or go on a run with me -- reach out! ## Work Experience ### Software Engineer @ Athelas Jan 2021 – Present | Mountain View, California, United States Medical Device Innovation - Led firmware development for Athelas Home, the first FDA-approved in-home complete blood count device, enabling at-home monitoring for Schizophrenia patients - Optimized optical calibration procedures, improving manufacturing yield by 30% and reducing field issues by 50% - Implemented TensorFlow serving infrastructure for one-click ML model deployment, enabling new features like platelet detection Infrastructure and Tools - Developed internal tools suite for real-time manufacturing traceability, remote diagnostics, and over-the-air updates, reducing support response times by 60% - Architected GCP infrastructure over Kubernetes, cutting compute costs by 40% while supporting high daily test volumes - Created a comprehensive RPM web portal for real-time patient vital sign monitoring, allowing distributed nurse teams to provide proactive care for over 100k patients Healthcare Operations and Compliance - Engineered an automated system for Clozapine REMS reporting in pharmacy operations, ensuring regulatory compliance and reducing manual effort by 80% - Designed and implemented a remittance ingestion platform processing millions annually across multiple formats for 50+ healthcare practices - Developed monitoring and alerting systems for full traceability of all transactions in the RCM process, reducing errors by 90% Process Automation and Efficiency - Built a task assignment, management, and review system for human-in-loop operations, increasing AR team productivity by 40% - Reverse-engineered APIs and developed async scraping tools to pull thousands of claims across multiple payers, accelerating claim processing by orders of magnitude - Created full-stack tooling for the AR team, supercharging manual processes and reducing administrative overhead ### Software Engineer II @ Uber Jan 2021 – Jan 2021 | Palo Alto, California, United States Implemented risk management features for Uber's peer-to-peer payments, enabling safe expansion into new financial services while complying with complex regulatory requirements ### Software Engineer @ Uber Jan 2019 – Jan 2021 | Palo Alto, California Transitioned fraud detection from batch processing to real-time risk assessment, significantly reducing financial losses on a platform processing millions of transactions daily Developed machine learning models around anomaly detection to combat fraud on Uber Eats, addressing the unique challenges of rapid food delivery and protecting both restaurants and Uber's revenue ### Software Engineer @ Uber Jan 2018 – Jan 2018 | Palo Alto, California Created a real-time system to optimize rider pickup locations in challenging urban environments with GPS inaccuracies due to tall buildings and high population density Utilized big data and clustering algorithms to infer actual rider locations, reducing average pickup times and ride cancellations in dense urban areas Developed a visualization tool for operations teams, enabling data-driven decisions to improve driver positioning and overall platform efficiency in complex city layouts ### Embedded Software Engineer @ Level Home Inc. Jan 2018 – Jan 2018 | Redwood City, California, United States Developed firmware for a smart lock system, balancing advanced security features with ultra-low power consumption to achieve one-year battery life on a single CR2 battery Created on-site debugging tools to rapidly diagnose and resolve issues, crucial for a startup competing against established players in the smart home market ### Hardware Engineer @ Tesla Jan 2017 – Jan 2017 | Palo Alto, California Developed an automated board tester for the Model 3's body control modules, ensuring reliable operation of critical systems (e.g., HVAC, power windows, seat adjustments) across temperature ranges (-40Β°C to +80Β°C) to meet global automotive certification standards Integrated a sensorless BLDC motor driver for the main HVAC blower, improving reliability and thermal performance in a cost-sensitive, mass-market electric vehicle Debugged low-voltage circuitry and ensured ESD compliance, validating the Model 3's electrical systems in various environmental conditions ### System Integration Engineer @ Tesla Jan 2016 – Jan 2016 | Palo Alto, California Wrote firmware for the Model 3's security controller, enabling walk-up smartphone-based door unlocks Developed Python-based testing tools for rapid verification of CAN & LIN bus communications, accelerating the integration of subsystems like lighting & lumbar Assembled a Model 3 low-voltage testbench, enabling firmware development and testing without full vehicle builds, helping meet aggressive production timelines ### Embedded Software Developer @ FleetCarma Jan 2016 – Jan 2016 | Waterloo, Ontario Developed firmware for an EV fleet telemetry logger, providing accurate data crucial for fleet managers transitioning to electric vehicles Optimized 4G modem and GPS receiver drivers, reducing GPS fix time from 27s to 4s, essential for precise tracking and efficient route planning in urban environments ### Prototype Engineer @ Deloitte Canada Jan 2015 – Jan 2015 | Kitchener, Ontario Prototyped a wearable safety device for miners, integrating various sensors with cloud analytics to monitor environmental conditions in hazardous underground workspaces Implemented an MQTT-based mesh network messaging system, demonstrating real-time data transmission capabilities critical for timely safety interventions in mining operations ## Education ### Bachelor of Applied Science (B.A.Sc.) in Mechatronics, Robotics, and Automation Engineering University of Waterloo ### Saint Robert Catholic High School ## Contact & Social - LinkedIn: https://linkedin.com/in/r-gosman --- Source: https://flows.cv/rare JSON Resume: https://flows.cv/rare/resume.json Last updated: 2026-03-29