Nicci Sequeira

• Planned and coordinated testing activities and test drives across multiple automotive platforms, ensuring on-time execution and alignment with customer requirements and testing objectives.
• Tracked Test Execution Cycles through regular reviews and result discussions, maintaining over 80% milestone adherence, while keeping Function Owners and Test Managers aligned on progress, issues and mitigation steps to avoid escalations.
• Responsible for Release Recommendations of Features under Test for platforms including PPE, MQBevo and MLB, supporting go/no-go decisions.
• Assisted teammates with troubleshooting backend connectivity issues, root cause analysis of system bring-up and implemented corrective / preventive actions, contributing to improved platform stability, minimizing testing disruptions and ensuring continuity of test operations.
• Facilitated open communication in regular team meetings, between team members and management to ensure all parties were informed about test cycle progress fostering a collaborative environment that encouraged information sharing and continuous improvement.

• Performed automotive system and feature testing across platforms such as PPE, MQBevo, MLB and MEB for Cariad, Porsche, Audi and Volkswagen projects across EU and RoW markets, supporting multiple release cycles.
• Responsible for flashing, calibration, coding and vehicle diagnostics as part of test equipment bring-up processes, contributing to on-time readiness for > 90% of planned test drives.
• Performed function and feature testing for ECUs including Modem (Conmod/Conbox), HCP3, HCP5, eSIM, NAD (level tests 1,2 and 3) and eCall, covering B2B and B2C use cases across multiple variants along with smoke and regression tests to avoid high-severity software issues early and reducing late-stage defects by ~25%
• Analyzed modem logs, application-layer logs and traces using esotraces, QXDM, ELT, serial2 tool, rogcat to find out discrepancies in backend/network communication, MQTT handshake flows, thus implementing corrective measures to reduce defect tickets
• Maintained detailed documentation on all tests performed including issues, ensuring accurate reporting of results and demonstrating the value of our testing efforts to both technical and non-technical audiences.
• Mentored junior engineers in proper test procedures and techniques, fostering a supportive learning environment that encouraged professional growth.

Project 1: Need for User Engagement in Smarter Buildings (IoT) Project 2: CAN & CANopen protocols for Robotic Arm Motion Control

• Designed and implemented an MQTT-based network architecture on python for data exchange between humans as active input sensors, actuators, and backend services, supporting reliable message translation and delivery across multiple system components in IoT-based home automation applications
• Developed a recommendation engine using AI planning concepts and Google’s Micro-Moments framework to adapt system behavior based on real-time user context and interaction patterns to improve QoS
• Managed MySQL databases for data modeling, storage, and computation, enabling structured analysis of sensor and user-interaction data across scenarios
• Built user-interactive web interfaces using Django and AJAX, enabling real-time feedback and control during evaluations and improving user response and interaction rates during testing
• Implemented CAN and CANopen communication protocols for motion control in accordance with CiA standards.
• Developed as Python packages to interface with ROS applications, enabling modular communication between control logic and robotic subsystems and supporting scalable testing scenarios.
• Designed and integrated fault-handling mechanisms to detect and recover from device-internal communication and system-level errors, improving system stability and fault recovery during test runs
• Performed calibration and verification of hardware parameters using Maxon EPOS Studio, ensuring accurate motion control and repeatable system behavior

• Implemented a Multi-Criteria Decision Making (MCDM) tool for real-time and real-world risk evaluation scenarios using qualitative and quantitative measures.
• Analyzed and applied decision analysis methodologies involving fuzzy logic, mathematical formulations, probability distributions, and weighting strategies to support decision workflows, improving decision accuracy and classification sensitivity during experimental evaluations.
• Developed the tool using Python scripts and Excel-based macros, enabling automated scoring, ranking, and scenario comparison across multiple input parameters.

• Supported with DNS operations for private-network services, including IP subnetting, ensuring stable domain resolution for customer environments.
• Monitored and evaluated website performance and service availability, contributing to a ~15% reduction in recurring customer-reported incidents through proactive checks and bug fixes.
• Implemented and supported with cryptographic/security protocols to strengthen data transport and connection security across hosting environments.
• Maintained email hosting services and performed routine operational support, improving ticket turnaround time by ~20% through structured triage and faster issue isolation.
• Linux and shell scripting to support database recovery, backups, and restoration workflows, reducing recovery time by ~30% for common incidents.