Santiago Mancheno

- Design and evolve internal ETL/ELT data platforms operating within an on-premises HPC environment supporting more than 100 PiB of data.
- Define end-to-end architectures covering data ingestion, transformation, storage, metadata indexing.
- Provide technical leadership across 5+ delivery teams and align architecture roadmaps with 20+ stakeholder groups for platforms serving more than 100 users.

- Developed and maintained large-scale data pipelines for radar, lidar, ultrasonic, image-based, and reference-system data used in automotive analysis and verification.
- Automated job dispatching, telemetry, CI/CD, testing, version control, and user notifications.
- Integrated 8+ new and legacy systems for data processing, transformation, and metadata extraction.

Consulting assignment at Volvo Cars within automotive active safety, working as an Analysis Engineer focused on radar sensor verification, recorded data analysis, and software tool development.

- Performed verification and analysis of automotive radar sensors supporting active safety functions.
- Developed software tools and workflows for recorded sensor data analysis, fault tracing, and verification.
- Built practical expertise in radar systems, reference data, signal analysis, and automotive analysis and verification processes.

Supported Real-Time Systems laboratory sessions, embedded C projects, software debugging, and technical guidance for students.

Developed a design and verification chain for an automotive FMCW radar prototype using a 76–81 GHz mmWave sensing module, covering analogue waveform generation, digital signal processing, and output verification.

Developed a Java and Visual Basic framework for comparing logic configurations across automotive electronic control units, including batch-based execution and interface integration.

Developed, maintained, and troubleshot embedded hardware and microcontroller-based systems, including printed circuit board assembly, testing, repair, and technical fault analysis.

Designed, built, and implemented a wireless sensor network for measuring the electrical consumption of low-voltage devices.

Contributed to the research and design of the battery pack for the QUB Electric DeLorean project, including electrical-system analysis, component selection, design documentation, and computer-aided engineering activities.

Supported Electrical Machines and Digital Systems laboratory courses by preparing practical sessions, guiding students during experiments, troubleshooting laboratory equipment, and explaining core engineering concepts.

IPOET scholarship holder - 2016/2018

Pursued a Master of Science in Embedded Electronic System Design, supported by the IPOET scholarship for 2016/2018.

Java Fundamentals Programming course completion.

CCNA 1, 2, 3, and 4 course

Earned a Bachelor of Science in Electrical Engineering.