Building practical software and robotic systems for real-world data, sensing, and operations.
Experienced test engineer and software developer with expertise in executing test plans, analyzing telemetry data, building automation pipelines, and validating complex systems. Combines automotive systems knowledge from... 7+ years of motorsports experience with professional software engineering and data analysis skills. Proficient in Python, test infrastructure development, and data-driven validation for hardware and software systems.
Motorsports experience
System testing
Alpamayo AI validation, robotic vehicle testing, automotive safety, and test operations.
Executed on-vehicle tests for autonomous and robotic systems.
Reviewed telemetry and sensor behavior to document system anomalies.
Supported controlled testing under automotive and high-voltage safety procedures.
ServiceNow, enterprise workflow automation, systems integration, and testing.
Built ServiceNow workflows for incident and change processes.
Implemented JavaScript UI behavior and workflow validation.
Supported automation integration across enterprise delivery.
Interactive environment design, server and plugin systems, UX, and production quality.
Designed and refined production-ready interactive environments.
Worked with server and plugin systems while evaluating usability.
Performed visual, functional, and player-experience reviews.
Regional planning dashboard combining weather, road activity, traffic cameras, events, and preparation workflows for Northern California drives.
Planning data is split across separate weather, traffic, camera, incident, and event sources.
React interface with an Express API, SQLite persistence, and normalized provider data.
Public feeds → validation → normalization → caching → route-aware display
Improving provider reliability, imagery playback, route history, and regional coverage.
Browser-based tool for drawing, refining, annotating, analyzing, saving, and exporting drift-course layouts over venue imagery.
Radar-equipped ESP32 nodes detect passing vehicles and relay timestamped events over LoRa, with repeater stations planned for wider coverage.
Uses telemetry and repeatable closed-course testing to compare vehicle behavior, driver inputs, setup changes, and safety.
Linux commands, filesystem operations, permissions, and practical shell-scripting workflows.
NVIDIA
LAB SAFETY
Automotive lab safety, vehicle garage procedures, hazard awareness, and safe test-environment practices.
NVIDIA
HIGH VOLTAGE
EV high-voltage awareness, battery-pack safety, safe handling, and DGUV I 209-093 Level 1E fundamentals.
Closed-course safety-driver assessment requiring controlled responses to injected steering, braking, and acceleration faults.
Defensive and performance-driving training focused on vehicle control, braking, recovery, and emergency maneuvers.
CPR fundamentals, response readiness, and practical emergency procedures.
Hands-on work across testing, software, data, and interface design.
• Test plan execution · System validation
• Scenario testing · QA and triage
• Integration testing · Telemetry analysis
• Sensor validation · Technical issue documentation
• Test automation · Sensor calibration · Data capture
• Executes structured validation across autonomous-vehicle, software, and interactive systems.
• Reviews telemetry and observed behavior to isolate, reproduce, and document technical issues.
• Connects scenario evidence to regression and integration review.
• Python · pandas · NumPy · R
• Time-series analysis · Metrics development
• Data visualization · GPS / IMU analysis
• Excel · ArcGIS · Geospatial analysis
• Statistical analysis · Log parsing
• Uses telemetry, time-series, and geospatial evidence to evaluate vehicle and system behavior.
• Builds reviewable metrics and visualizations for operational and engineering decisions.
• Applies Python and R workflows to structured analysis and reporting.
• Git version control · Linux / Unix · Bash
• JavaScript · C++ · Java
• Workflow automation · Tooling and scripting
• Docker basics · PyCharm · VS Code
• API integration · ServiceNow · ROS fundamentals
• Develops workflow automation and interface behavior for operational systems.
• Uses version-controlled scripting and multi-language tooling to reduce repetitive work.
• Works across Linux development environments and lightweight container workflows.
• Diagnostics · Test execution · Technical support
• Jira · Trello · Agile / Scrum workflows
• Cross-team collaboration · Technical documentation
• Stakeholder communication · Operational process support
• Remote team coordination · Project delivery
• Supports controlled test execution, diagnostics, issue escalation, and delivery workflows.
• Produces technical records that help cross-functional teams review and act on findings.
• Coordinates operational work through established Agile and ticketing processes.
• Interface design · Interaction design
• Dashboard design · Information hierarchy
• Data-dense interfaces · Usability evaluation
• Workflow-oriented UI · Responsive interface design
• Interface QA · Cross-device review
• Organizes dense operational data into focused, reviewable workflows.
• Evaluates navigation, hierarchy, and interaction quality across responsive interfaces.
• Designs dashboards around real tasks rather than decorative presentation.
• Autonomous-vehicle testing · Vehicle dynamics
• GPS / IMU telemetry · Performance analysis
• Data-driven tuning · Track testing · Setup optimization
• Automotive safety procedures · High-voltage safety awareness
• Closed-course KPI review · Lap analysis
• Applies closed-course testing and telemetry review to vehicle behavior and setup decisions.
• Combines professional AV test operations with hands-on motorsports practice.
• Works within controlled automotive and high-voltage safety procedures.
System validation, test execution, sensor calibration, and telemetry analysis for autonomous driving platforms.
Key Responsibilities:
• Execute complex multi-sensor test scenarios in controlled and real-world environments
• Perform intrinsic and extrinsic calibration of camera, LiDAR, and radar sensor arrays
• Analyze time-synchronized sensor fusion outputs using Python-based analysis tools
• Configure ROS-based logging systems and validate data integrity across test runs
Technical Environment:
• Work with autonomous vehicle perception and sensor fusion systems
• Use Linux-based test infrastructure and command-line tools for system diagnostics
• Collaborate with perception, planning, and software engineering teams on defect resolution
Position record
Executed controlled and real-world test plans, recording reproducible evidence for engineering review.
Performed pre- and post-test validation of camera, LiDAR, and radar configurations.
Logged events and defects to support engineering investigation and regression validation.
Prepared logging systems, timing sources, and diagnostic checks for data capture.
Validated sensor-fusion outputs through pre- and post-test data analysis.
Produced reproducible datasets and reports for review across test runs.
Autonomous driving systems · Camera · LiDAR · Radar · Linux diagnostics · Engineering collaboration
ServiceNow customization, automation workflows, and client-side integration for enterprise systems.
Technical Contributions:
• Developed custom workflows using ServiceNow Flow Designer for incident and change management
• Implemented JavaScript business rules and client scripts for data validation and automation
• Created role-based access controls and custom UI policies for enterprise security requirements
• Performed integration testing and quality assurance for ServiceNow module deployments
Project Highlights:
• Reduced manual ticket processing time by 40% through automated workflow implementations
• Worked in Agile sprints with cross-functional teams to deliver platform enhancements
Position record
Developed ServiceNow Flow Designer workflows for incident and change management.
Implemented JavaScript business rules and client scripts for data validation.
Performed quality assurance for ServiceNow module deployments and integrations.
Configured role-based access controls for enterprise security requirements.
Created custom UI policies to support consistent platform behavior.
Coordinated with cross-functional teams on platform enhancements and milestones.
ServiceNow · Flow Designer · Business rules · Client scripts · Cross-functional delivery
Large scale 3D environments, scripting, QA and collaboration with remote teams.
Design & Development:
• Designed and implemented large-scale 3D environments for interactive virtual experiences
• Developed custom scripts for interactive elements and automated gameplay features
• Performed comprehensive QA testing and documented bugs with reproduction steps
Collaboration:
• Worked remotely with international team across multiple time zones
• Created technical documentation and visual mockups for stakeholder review
Position record
Designed and implemented large-scale environments for interactive virtual experiences.
Developed scripts for interactive elements and automated gameplay features.
Documented bugs with reproduction steps during comprehensive quality assurance.
Supported production work across large-scale interactive environments.
Worked with an international team across multiple time zones.
Created documentation and visual mockups for stakeholder review.
Interactive virtual experiences · Scripting · QA · Remote collaboration · Stakeholder review
2026 — Present
Built a regional dashboard for weather, route cameras, traffic activity, events, and preparation workflows across Northern California.
Regional Data Platform
Combines live weather, route cameras, traffic activity, events, and preparation tools for Bay Area and Northern California drives.
Review road, weather, camera, and event conditions before leaving.
React interface supported by an Express API and SQLite data layer.
Automatic caching and fallback data keep essential information available.
Expanding features, weather playback, route history, and Northern California coverage.
React · Node.js · Express · SQLite
View Project DetailsCreated provider-specific ingestion and normalization pipelines for heterogeneous public data.
Converted external responses into consistent internal records for downstream modules.
Connected provider data to routes, corridors, locations, and regional dashboards.
Added SQLite persistence, bounded caching, deduplication, stale-data handling, and provider fallbacks.
Combined disconnected regional sources into one interface for route awareness and event preparation.
Structured providers and dashboard modules so additional regions and data sources can be added.
2026 — Present
Developing an ESP32 and LoRa sensing node for detecting vehicle activity, generating timestamped events, and transmitting telemetry beyond normal Wi-Fi coverage.
Designed local processing that converts sensor input into compact event records.
Defined low-bandwidth LoRa messages for detection events, node status, signal information, and diagnostics.
Separated sensing, event processing, storage, and radio communication for evaluation and replacement.
Created a foundation for monitoring vehicle activity where dependable Wi-Fi is unavailable.
Defined event records suitable for storage, analysis, visualization, and later automation.
Designed a future connection to the Local Driving Intelligence data pipeline and dashboard.
2026 — Present
Developing an ESP32 and ultra-wideband ranging system for measuring vehicle spacing and presenting driver-facing proximity feedback during closed-course tandem driving.
Designed a portable UWB node arrangement for measuring relative distance between moving vehicles.
Evaluated update frequency, filtering, mounting position, obstruction, and calibration requirements.
Explored visual and audible feedback methods while minimizing driver distraction.
Defined a system for translating live range measurements into usable proximity information.
Designed nodes to operate without track infrastructure, fixed cameras, or internet connectivity.
Connected embedded sensing and interface design with automotive safety and driver workload.
2017 — Present
Applied telemetry, instrumented driving, and structured session review across drifting, autocross, track driving, and simulation to evaluate vehicle behavior, setup changes, and driver inputs.
Collected GPS, speed, acceleration, and IMU telemetry for repeatable session and lap comparison.
Compared speed traces, braking zones, corner behavior, consistency, and driver inputs across sessions.
Combined telemetry, controlled setup changes, and driver feedback to evaluate handling balance.
Connected subjective vehicle behavior with recorded data rather than relying only on driver impressions.
Established a structured process for comparing sessions, setup changes, and driving techniques.
Developed practical experience with instrumentation, safety procedures, technical operations, and dynamic mechanical systems.
CS 123B – Bioinformatics II, 2021
Aligned mRNA data from 44 species and used reproducible parsing, cleaning, and validation workflows to infer evolutionary relationships.
Processed 44 mRNA sequences with BioPython SeqIO and AlignIO modules.
Applied ClustalW multiple-sequence alignment with parameter optimization.
Used custom Python checks for sequence quality and contamination detection.
Used neighbor-joining and maximum-likelihood methods for phylogenetic trees.
Reconstructed evolutionary relationships with 92% bootstrap support.
Identified conserved motifs indicating functional constraint across species.
CS 185C – Social Network Analysis, 2020
Analyzed Twitch user-network data with Python and R to identify influential users, clusters, and community structure.
Collected a Twitch API dataset of more than 10,000 user interactions.
Calculated degree, betweenness, and eigenvector measures for influential users.
Applied Louvain clustering to identify 15 distinct user clusters.
Created Gephi visualizations with a Force Atlas 2 layout.
Confirmed a power-law follower distribution consistent with scale-free behavior.
Identified genre-based communities and cross-community influencers.
CS 160 – Software Engineering, 2019
Built a Java e-commerce prototype with authentication, file persistence, inventory search, and defensive error handling.
Separated business logic and presentation layers with an MVC structure.
Used serialization for user and inventory data persistence.
Implemented password hashing and session management in a modular login system.
Added filtering by title, author, genre, and price range.
Applied SOLID principles with Factory, Observer, and Singleton patterns.
Added custom exception handling and JUnit coverage for critical business logic.
