1. Concept Car Aerodynamics: Geometry Development and CFD Pipeline

Domain: Automotive Design and Aerodynamics
Tools: Blender, snappyHexMesh, OpenFOAM, ParaView
Status: Core pipeline implemented and validated

A self-driven follow-up project extending my IED Turin car design work into a complete
design–simulation–physical prototyping pipeline, built entirely using open-source tools.

The project focuses on taking an early-stage concept car design through geometry refinement, meshing, solver setup, convergence, and validation, with emphasis on engineering-aware modeling, numerical stability, and iterative refinement rather than visual styling alone.

Focus areas

  • Surface continuity and mesh-aware modeling in Blender
  • Preparation of CFD-suitable, watertight external geometry
  • Unstructured hex-dominant meshing using snappyHexMesh
  • Steady-state external aerodynamics using OpenFOAM (simpleFoam)
  • Flow visualization and qualitative interpretation in ParaView
  • Physical prototyping through 3D printing and feedback-driven geometry iteration

Read the full CFD project write-up →

2. IED Turin – Automotive Concept Design (Onsite Summer Program)

This project forms the design foundation for my later work in computational aerodynamics, geometry refinement, and physical prototyping.

In summer 2025, I attended a three-week onsite automotive design program at
Istituto Europeo di Design (IED), Turin.

The course focused on the complete exterior car design workflow, from sketching and proportion studies to physical model development.

Course highlights

  • Studio sessions on proportions, stance, and surface language
  • Iterative sketching with one-to-one faculty feedback
  • Translating concepts into a physical clay model
  • Classroom sessions on automotive design trends

My work during the course

  • Developed an original exterior concept for a compact performance car
  • Created side, front, and rear views exploring surface treatments
  • Built a digital version of the selected concept for refinement
  • Constructed a physical clay model using the course workflow
  • Presented the final design to faculty and peers

Industry Exposure (Garage Visits)

Alongside studio coursework, I visited several specialist automotive garages in and around Turin, gaining exposure to fabrication techniques, performance vehicle restoration, and motorsport-influenced modification processes.

These visits helped connect design intent with real-world build constraints.

View full IED Turin project with photos →

3. ADAS Simulation and Deployment Platform using Raspberry Pi (In Progress)

An engineering-focused robotics project aimed at building a modular simulation and deployment platform for Advanced Driver Assistance Systems (ADAS) concepts.

Rather than starting with a fully autonomous rover, this project follows an infrastructure-first approach, where ADAS algorithms are:

  • developed and validated on a laptop using simulation and replayable data,
  • tested through clean hardware-agnostic interfaces, and
  • incrementally deployed onto a Raspberry Pi–based rover only after verification.

Initial simulation dashboards for AEB and ACC scenarios are functional and used for behavior verification across controlled test cases.

ADAS capabilities under active development

  • Lane Keeping Assist (LKA)
  • Adaptive Cruise Control (ACC)
  • Autonomous Emergency Braking (AEB)

Core focus areas

  • Hardware abstraction and mock sensor interfaces
  • Laptop-based simulation and algorithm validation
  • Real-time sensing and control on Raspberry Pi
  • Controlled transition from simulation to hardware execution
  • Embedded software structure, safety constraints, and observability

This project serves as a testbed for embedded systems, robotics, and ADAS-oriented system design, with features introduced only after validation in a controlled environment.

View ADAS simulation platform architecture and scenarios →

This portfolio highlights a deliberately curated set of projects that reflect my interests in mechanical engineering, aerodynamics, and autonomous systems, with emphasis on depth, correctness, and iterative engineering practice.