Anastasis.

Primary Systems Engineer for the Vehicle’s HMI features, acting as Feature Owner: consolidating stakeholder requirements and authoring end-to-end specifications on a donor platform (NIO architecture).

Feature Ownership & Delivery

• Owned >50 software and hardware features:
  • Digital Cockpit: Infotainment, Driver Information, Screens, Switches, System Settings.
  • Infrastructure: Vehicle States, Vehicle Modes, Warnings, Tell-Tales & Indicators.
  • Managed HMI dependencies across all other domains.
• Led cross-functional delivery squads with stakeholders from >10 teams, including UX, UI, Human Factors, design, commodity owners, product, homologation, testing.
• Authored end-to-end feature specifications: functional, performance, and UX requirements for NIO and Tier 1 suppliers.
• Aligned requirements with homologation and ISO 26262 functional safety goals.
• Aligned the technical solution to the donor platform via gap analyses, maintaining traceability across both organisations.
• Defined and maintained the feature roadmap: release scope and content across software drops, leading PI Planning conversations each cycle.

Technical Partner & Supplier Collaboration

• Championed the collaboration model with NIO: the programme’s primary expert on specification content, integration requirements, and delivery timelines.
• Mentored other engineers on NIO collaboration: processes, interfaces, and expectations.
• Achieved the highest volume of successfully implemented change requests of any engineer on the programme.
• Supported Tier 1 supplier delivery via technical procurement.

Process & Methodology

• Bridged the gap between ambiguous product vision and engineering-ready specifications, establishing a working Feature Ownership model where no formal process existed.
• Defined an ISO 15288-compliant Systems Engineering methodology on an interim toolset during early programme phases.
• Refined the master feature list to reflect the complete product offering.

Senior Systems Engineer for Remote Park Assist (RPA), one of the most complex ADAS features in the production programme.

Feature Ownership & Delivery

• Led the Systems Engineering definition of RPA for the next-generation NVIDIA ADAS platform.
• Defined >20 use cases, with requirements focusing on customer experience refinement.
• Reconciled the technical solution with customer experience requirements, resolving gaps between system design and desired behaviour.
• Aligned requirements with homologation and ISO 26262 functional safety goals.

Process & Methodology

• Defined Model-Based and Requirements-Based Systems Engineering processes across the full ADAS feature lifecycle.
• Authored the reference standard for methodology on the Dassault Systèmes toolchain.

Patents & Innovation

• Pioneered a Scenario-Based System Definition framework for data-driven requirements elicitation.
• Invented novel features and engineering solutions (4 patents pending).

Systems Engineer for Autonomous Driving in Production, an experimental Level-4 feature for the next-generation NVIDIA ADAS platform, and Scrum Master for the delivery team.

Feature Delivery

• Defined use cases, ensuring requirements coverage across all scenarios.
• Defined the technical solution on system and sub-system level, resolving architectural gaps.
• Aligned requirements with homologation and ISO 26262 functional safety goals.
• Supported software testing on prototype vehicles.
• Led risk and impediment management for the team.
• Defined the business case, projecting a 100% return on investment.

Verification & Validation

• Led the development of a Verification & Validation framework and associated tools, for the logical model and software tests:
  • Developed the V&V software in Matlab, using APIs to bridge different tools.
  • Designed an intuitive user interface.
  • Demonstrated its effectiveness on simulations involving real-world maps and prototype software.
  • Enabled automated testing of >2,000 test cases, supporting on-time programme delivery.
• Validated software releases against the logical feature models.

Scrum Master & Agile Project Management

• Established a standardised, modular, and automated metrics framework:
  • Organised all teams’ backlogs to align with Systems Engineering deliverables.
  • Developed automated dashboards for real-time delivery status monitoring.
  • Consolidated delivery planning in Jira, with traceability to programme milestones.
  • All 23 ADAS squads followed the framework.
• Facilitated Agile ceremonies and drove continuous improvement, achieving >2x velocity increase within 6 months.
• Onboarded new Scrum Masters across the ADAS programme.

Graduate engineer in a pre-development autonomous driving team.

Verification & Validation

• Led the development of a Test Automation Tool for MiL testing using Matlab-Simulink, extending it to automate test case preparation at HiL level.
• Built a CarMaker simulation environment generator using real-world data captured from prototype vehicles.
• Participated in on-vehicle testing using prototype vehicles.
• Supported ad-hoc requirements refinement across multiple ADAS features.

Placements

• Completed a 3-month placement in the Engineering Strategy & Transformation team.
  • Owned weekly deliverables for the CTO.
  • Completed business analyses and automotive trends analyses.
  • Created technical analyses for specific systems or components.

Training & Development

• Completed a 2-week manufacturing placement on the final assembly line at the Land Rover Solihull plant (Range Rover and Range Rover Sport).
  • Installed parts for safety-critical systems, including curtain airbags and seat belt sensors.
  • Assembled modules for the rear end of the cabin.
• Completed all available Graduate Programme training, including 6-Sigma Yellow Belt, APM Project Management, and role-specific technical modules.
• Semi-finalist in the Graduate Innovation Challenge.

Tutor for the school’s student team for the F1 In Schools competition.

• Introduced ~10 students to engineering concepts and methods.
• Taught students to use professional CAD and CFD tools to design and develop a working product.
• Coached the team to collaborate effectively.
• Applied project management methodologies to structure the team’s delivery.
• The team qualified (4th nationally) for the World Finals at the first attempt, and won the Best Engineered Car award.

• Part-time post-graduate studies in the field of Engineering Management. Grade: B

• Part-time post-graduate studies in the field of Automotive Engineering. Grade: C

5-year degree in Mechanical Engineering, with the last 2 years specialisation in Air & Ground Vehicles.

Diploma Thesis

• Title: Aerodynamic Design, Analysis & Adjoint Shape Optimisation of the DrivAer Motorsport Underfloor Using OpenFOAM.
• Completed at the Laboratory of Thermal Turbomachines.
• Grade: 10/10.
• Description:
  • Diploma Thesis at the School of Mechanical Engineering, National Technical University of Athens.
  • The project focused on the aerodynamic shape optimisation of a racing underfloor for the DrivAer generic car model, using the adjoint method in OpenFOAM.
  • A front splitter and rear diffuser were designed in compliance with the 2019 LMGTE technical regulations and optimised for maximum downforce.
  • Results:
    • 10.4% less drag and 173.4% more downforce than the original DrivAer.
    • 0.3% more drag and 85.2% more downforce than the initial (non-optimised) solution.
• (full document)

Notable Projects & Activities

• Alternative Propulsion of a Launch Vehicle’s 1st Stage (awarded the Commendation on Innovation by the university’s committee)
• Preliminary Design of an LMP-1HY Racecar for the Circuit des 24 Heures du Mans.
• Formula Student member for 6 months.
• Member of the ERASMUS community.

Notable Courses

• Thermal Turbomachines (9/10)
• Design of Thermal Turbomachines (8/10)
• Aircraft Engine Operation (9/10)
• Internal Combustion Engines (8/10)
• Combustion & Pollution of Piston Internal Combustion Engines (9/10)
• Gas Exchange & Supercharging of Internal Combustion Engines (10/10)
• Methods of Aerodynamic Optimisation (10/10)
• Computational Fluid Dynamics (9/10)
• Aerodynamics (9/10)
• Theory of Ground Vehicles (10/10)
• Flight Dynamics (9/10)
• Innovative Design of Mechanical Engineering Products (10/10)
• Technology & Mechanics of Composite Materials (10/10)