NVIDIA
Autonomous Vehicle Test Expert
Alpamayo, robotic vehicle systems, automotive safety, and AI validation.
Software & Systems Engineer | Operations Specialist
Software & Systems Engineer
Computer Science
Data Analysis
UI/UX Design
Automotive Testing
Building practical software and robotic systems for real-world data, sensing, and operations.
AI & ROBOTICS
DATA ANALYSIS
SYSTEMS & AUTOMATION
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.
Experience depth
7+years
Motorsports experience
2+years
System testing
Career Snapshot
Tata Consultancy Services
Assistant Systems Engineer
ServiceNow, workflow automation, JavaScript, and enterprise integration.
Shapescape
Game Level Designer
Server and plugin systems, UX, level design, and quality control.
Local Driving Intelligence
Full-Stack Systems
Combines regional weather, route cameras, traffic activity, and event planning for Bay Area and Northern California drives.
Radar + LoRa Traffic Sensor
Sensor Integration
Detects passing vehicles by radar and sends timestamped events over LoRa.
Vehicle Proximity System
Robotics & Sensing
Measures live vehicle spacing to support safer closed-course tandem driving.
Performance Driving & Validation
Vehicle Validation
Closed-course driving and data-driven testing focused on vehicle handling and safety.
Role Scope
Alpamayo AI validation, robotic vehicle testing, automotive safety, and test operations.
01 / Test Execution
Executed on-vehicle tests for autonomous and robotic systems.
02 / System Analysis
Reviewed telemetry and sensor behavior to document system anomalies.
03 / Safe Operations
Supported controlled testing under automotive and high-voltage safety procedures.
EnvironmentAlpamayo · Robotic vehicle systems · Telemetry · Automotive safety
Role Scope
ServiceNow, enterprise workflow automation, systems integration, and testing.
01 / Workflow Development
Built ServiceNow workflows for incident and change processes.
02 / Client Automation
Implemented JavaScript UI behavior and workflow validation.
03 / Delivery Support
Supported automation integration across enterprise delivery.
EnvironmentServiceNow · Flow Designer · JavaScript · Workflow testing
Role Scope
Interactive environment design, server and plugin systems, UX, and production quality.
01 / Environment Design
Designed and refined production-ready interactive environments.
02 / Systems & UX
Worked with server and plugin systems while evaluating usability.
03 / Quality Review
Performed visual, functional, and player-experience reviews.
EnvironmentServer and plugin systems · UX · Production workflows · Quality review
Featured Case Study
Project 01Regional Data Platform
Active DevelopmentLocal Driving Intelligence
Built for Bay Area and Northern California drives, combining weather, traffic cameras, route activity, events, and preparation tools in one system.
Regional driving information is split across separate weather, traffic, camera, incident, and event sources.
React interface, Express API, SQLite persistence, provider integrations, and configured regional routes.
Public feeds → validation and normalization → storage and caching → route-aware interface
Provider reliability, weather-imagery playback, cache behavior, data quality, and additional regional coverage.
Supporting Projects
02 / Embedded IoTPrototype
Radar + LoRa Traffic Sensor
ESP32 prototype that detects passing vehicles and transmits timestamped events over LoRa.
Stack ESP32 · Radar · LoRa
03 / RoboticsPrototype
Vehicle Proximity System
UWB system for live vehicle-spacing measurement and controlled closed-course driver feedback.
Stack ESP32 · UWB · Driver feedback
04 / MotorsportsOngoing Practice
Performance Driving & Validation
Closed-course KPI and telemetry validation focused on consistency, handling, and safety.
Focus Telemetry · Vehicle dynamics · Validation
Professional Driver T1 / T2
Vehicle control · skid recovery · brakingEmergency maneuvers · performance driving · safety
QUALIFICATION RECORDTRAINING
High-Voltage Safety HV1 / HV2
Hazard recognition · automotive HV awarenessSafe working procedures
QUALIFICATION RECORDTRAINING
CPR Certification
CPR fundamentals · emergency responseReadiness procedures
QUALIFICATION RECORDTRAINING
Linux Certification
Linux CLI · filesystems · permissionsShell workflows · system fundamentals
QUALIFICATION RECORDTRAINING
Skills & ToolsSkills
Technical capabilities applied across software, testing, data, and physical systems.
Test & Validation
Executes structured validation, analyzes system behavior, and produces reviewable technical evidence across software and physical systems.
Methods
- 01Test executionStructured scenario and test-plan execution
- 02System analysisTelemetry and observed-behavior review
- 03Integration testingSystem and sensor validation
- 04Issue documentationReproducible technical findings
Toolchain
- Python
- Linux
- Telemetry tools
- Jira
- Git
Applied Evidence
Applied Domains
Technology Index
Python · JavaScript · Java · C++
Linux · Git · Docker · ServiceNow
pandas · NumPy · R · SQLite · Excel · ArcGIS
React · Node.js · ESP32 · ROS · Sensor tooling
Test Systems
• 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
Test Systems in Practice
• 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.
Data Analysis
• Python · pandas · NumPy · R
• Time-series analysis · Metrics development
• Data visualization · GPS / IMU analysis
• Excel · ArcGIS · Geospatial analysis
• Statistical analysis · Log parsing
Data Analysis in Practice
• 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.
Automation & Software
• Git version control · Linux / Unix · Bash
• JavaScript · C++ · Java
• Workflow automation · Tooling and scripting
• Docker basics · PyCharm · VS Code
• API integration · ServiceNow · ROS fundamentals
Automation & Software in Practice
• 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.
Technical Operations
• 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
Technical Operations in Practice
• 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.
UI / UX & Interfaces
• Interface design · Interaction design
• Dashboard design · Information hierarchy
• Data-dense interfaces · Usability evaluation
• Workflow-oriented UI · Responsive interface design
• Interface QA · Cross-device review
UI / UX & Interfaces in Practice
• 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.
Automotive Systems
• 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
Automotive Systems in Practice
• 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.
Experience
Autonomous Vehicle Test Expert
System validation, test execution, sensor calibration, and telemetry analysis for autonomous driving platforms.
- Execute scenario-based test plans and validate system behavior; log events and defects for engineering teams.
- Calibrate sensor suites (LiDAR/camera/radar) and validate fusion outputs through pre/post-test data analysis.
- Prepare test systems for data capture: configure logging infrastructure, sync timing sources, run diagnostics.
- Author detailed test reports with reproducible datasets for engineering review and regression testing.
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
Role highlights
Key responsibilities and technical contributions in this position.01 Test & validation
01
Scenario execution
Executed controlled and real-world test plans, recording reproducible evidence for engineering review.
02
Sensor calibration
Performed pre- and post-test validation of camera, LiDAR, and radar configurations.
03
Defect documentation
Logged events and defects to support engineering investigation and regression validation.
02 Systems & data
01
Logging infrastructure
Prepared logging systems, timing sources, and diagnostic checks for data capture.
02
Telemetry analysis
Validated sensor-fusion outputs through pre- and post-test data analysis.
03
Data integrity
Produced reproducible datasets and reports for review across test runs.
Working context
Autonomous driving systems · Camera · LiDAR · Radar · Linux diagnostics · Engineering collaboration
Assistant Systems Engineer
ServiceNow customization, automation workflows, and client-side integration for enterprise systems.
- Configured user roles and automated workflows using Flow Designer and business rules.
- Applied JavaScript and testing to enforce data validation and UI behavior for large-scale deployments.
- Participated in Agile development and cross-team coordination for delivery milestones.
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
Role highlights
Key responsibilities and technical contributions in this position.01 Automation & validation
01
Workflow automation
Developed ServiceNow Flow Designer workflows for incident and change management.
02
Client-side validation
Implemented JavaScript business rules and client scripts for data validation.
03
Integration testing
Performed quality assurance for ServiceNow module deployments and integrations.
02 Systems & collaboration
01
Access controls
Configured role-based access controls for enterprise security requirements.
02
UI policies
Created custom UI policies to support consistent platform behavior.
03
Agile delivery
Coordinated with cross-functional teams on platform enhancements and milestones.
Working context
ServiceNow · Flow Designer · Business rules · Client scripts · Cross-functional delivery
3D Digital Environment Designer
Large scale 3D environments, scripting, QA and collaboration with remote teams.
- Built interactive worlds and automated features with scripts; performed QA and bug triage.
- Produced visuals and documentation that communicated system behavior to stakeholders.
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
Role highlights
Key responsibilities and technical contributions in this position.01 Design & development
01
Environment design
Designed and implemented large-scale environments for interactive virtual experiences.
02
Interactive scripting
Developed scripts for interactive elements and automated gameplay features.
03
QA & triage
Documented bugs with reproduction steps during comprehensive quality assurance.
02 Production & collaboration
01
Production workflows
Supported production work across large-scale interactive environments.
02
Remote collaboration
Worked with an international team across multiple time zones.
03
Technical communication
Created documentation and visual mockups for stakeholder review.
Working context
Interactive virtual experiences · Scripting · QA · Remote collaboration · Stakeholder review
Selected Projects
Featured SystemFeatured Project
Local Driving Intelligence: Regional Data Platform
2026 — Present
Built a regional dashboard for weather, route cameras, traffic activity, events, and preparation workflows across Northern California.
Skills demonstrated
2026Active Development
Regional Data Platform
Local Driving Intelligence
Combines live weather, route cameras, traffic activity, events, and preparation tools for Bay Area and Northern California drives.
- 01 / Purpose
See weather, route activity, cameras, and event details before leaving.
- 02 / Build
I built the React interface, Express API, and SQLite data layer.
- 03 / Reliability
Cached results keep the dashboard useful when a public feed fails.
- 04 / Current Work
Current work adds weather playback and broader Northern California coverage.
Engineering Highlights
- Route-aware camera matching
- Public-feed normalization
- SQLite caching and fallback data
- Event planning and weather playback
React · Node.js · Express · SQLite
View Project Details01 Provider pipelines
01
Normalization
Created provider-specific ingestion and normalization pipelines for heterogeneous public data.
02
Consistent records
Converted external responses into consistent internal records for downstream modules.
03
Route context
Connected provider data to routes, corridors, locations, and regional dashboards.
02 Outcomes
01
Resilient access
Added SQLite persistence, bounded caching, deduplication, stale-data handling, and provider fallbacks.
02
Unified view
Combined disconnected regional sources into one interface for route awareness and event preparation.
03
Extensible architecture
Structured providers and dashboard modules so additional regions and data sources can be added.
LoRa32 Wireless Traffic Sensor
2026 — Present
Developing an ESP32 and LoRa sensing node for detecting vehicle activity, generating timestamped events, and transmitting telemetry beyond normal Wi-Fi coverage.
Skills demonstrated
01 Implementation
01
Edge event processing
Designed local processing that converts sensor input into compact event records.
02
Wireless protocol
Defined low-bandwidth LoRa messages for detection events, node status, signal information, and diagnostics.
03
Modular node design
Separated sensing, event processing, storage, and radio communication for evaluation and replacement.
02 Outcomes
01
Remote data collection
Created a foundation for monitoring vehicle activity where dependable Wi-Fi is unavailable.
02
Structured telemetry
Defined event records suitable for storage, analysis, visualization, and later automation.
03
Platform integration
Designed a future connection to the Local Driving Intelligence data pipeline and dashboard.
UWB Tandem Proximity System
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.
Skills demonstrated
01 Implementation
01
Ranging architecture
Designed a portable UWB node arrangement for measuring relative distance between moving vehicles.
02
Calibration and filtering
Evaluated update frequency, filtering, mounting position, obstruction, and calibration requirements.
03
Driver feedback
Explored visual and audible feedback methods while minimizing driver distraction.
02 Outcomes
01
Spacing awareness
Defined a system for translating live range measurements into usable proximity information.
02
Portable operation
Designed nodes to operate without track infrastructure, fixed cameras, or internet connectivity.
03
Safety-focused development
Connected embedded sensing and interface design with automotive safety and driver workload.
Motorsports Systems and Vehicle Dynamics
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.
Skills demonstrated
01 Implementation
01
Data acquisition
Collected GPS, speed, acceleration, and IMU telemetry for repeatable session and lap comparison.
02
Analysis workflow
Compared speed traces, braking zones, corner behavior, consistency, and driver inputs across sessions.
03
Setup iteration
Combined telemetry, controlled setup changes, and driver feedback to evaluate handling balance.
02 Outcomes
01
Evidence-based review
Connected subjective vehicle behavior with recorded data rather than relying only on driver impressions.
02
Repeatable comparison
Established a structured process for comparing sessions, setup changes, and driving techniques.
03
Physical-system experience
Developed practical experience with instrumentation, safety procedures, technical operations, and dynamic mechanical systems.
Python Phylogenetic Analysis
CS 123B – Bioinformatics II, 2021
Aligned mRNA data from 44 species and used reproducible parsing, cleaning, and validation workflows to infer evolutionary relationships.
Skills demonstrated
01 Implementation
01
Sequence processing
Processed 44 mRNA sequences with BioPython SeqIO and AlignIO modules.
02
Alignment workflow
Applied ClustalW multiple-sequence alignment with parameter optimization.
03
Quality validation
Used custom Python checks for sequence quality and contamination detection.
02 Outcomes
01
Tree generation
Used neighbor-joining and maximum-likelihood methods for phylogenetic trees.
02
Bootstrap support
Reconstructed evolutionary relationships with 92% bootstrap support.
03
Motif findings
Identified conserved motifs indicating functional constraint across species.
Twitch.tv Users Network Analysis
CS 185C – Social Network Analysis, 2020
Analyzed Twitch user-network data with Python and R to identify influential users, clusters, and community structure.
Skills demonstrated
01 Implementation
01
Dataset build
Collected a Twitch API dataset of more than 10,000 user interactions.
02
Centrality metrics
Calculated degree, betweenness, and eigenvector measures for influential users.
03
Community detection
Applied Louvain clustering to identify 15 distinct user clusters.
02 Outcomes
01
Network visualization
Created Gephi visualizations with a Force Atlas 2 layout.
02
Distribution analysis
Confirmed a power-law follower distribution consistent with scale-free behavior.
03
Community insights
Identified genre-based communities and cross-community influencers.
Bookstore Prototype System
CS 160 – Software Engineering, 2019
Built a Java e-commerce prototype with authentication, file persistence, inventory search, and defensive error handling.
Skills demonstrated
01 Implementation
01
MVC architecture
Separated business logic and presentation layers with an MVC structure.
02
File persistence
Used serialization for user and inventory data persistence.
03
Authentication
Implemented password hashing and session management in a modular login system.
02 Outcomes
01
Inventory search
Added filtering by title, author, genre, and price range.
02
Design patterns
Applied SOLID principles with Factory, Observer, and Singleton patterns.
03
Quality checks
Added custom exception handling and JUnit coverage for critical business logic.