Kshitij Prasad

AUDI AG · Ingolstadt

Data Engineering & AI | Driver Assistance Internship

May 2026 | present

• Python and C++ pipelines for vehicle-bus, camera and sensor telemetry.
• CLIP-based semantic search for natural-language retrieval of driving scenarios.
• Computer vision, object tracking, and reconstruction of real-world scenarios for ADAS simulation and evaluation.

AKKODIS · Ingolstadt

Bachelor’s Thesis | Autonomous Aerial Systems

October 2025 | March 2026

• Benchmarked PPO, SAC, and TD3 for multirotor UAV precision landing on moving targets using PyTorch.
• Built a Gazebo/PX4 SITL benchmark with ROS 2 integration, reward shaping, trajectory logging and repeatable evaluation.
• Compared policy and controller performance using standardized metrics and TensorBoard. Separate Pixhawk hardware integration; physical policy transfer remains future work. Thesis grade: 1.0.

AKKODIS · Ingolstadt

Software Engineering | Intern & Working Student

April 2024 | October 2025

• Built C++ / ROS 2 sensor interfaces and perception pipelines for service robot integration.
• Integrated RealSense, object detection, and Nav2 navigation.
• Developed CARLA simulation scenarios and diagnostic tooling for automated driving evaluation.

Schanzer Racing e.V. · TH Ingolstadt

Driverless Department | Formula Student

October 2022 | October 2024

Real-time perception, motion planning, and multi-sensor integration in C++ / ROS 2 on NVIDIA Jetson for an autonomous racecar.

Nouri · Personal product

Built a React Native and Expo application for meal planning, grocery lists, and food journaling, with persistent local state and optional AI meal generation.

Scope · Venture concept & EXIST preparation

Developed a TypeScript API for insurance-renewal preparation, linking source documents, contextual facts, questionnaire answers, and review approvals. Prototype in EXIST preparation.

Autonomous Mobility Orchestrator

Interactive fleet-planning prototype with traffic visualisation, simulated demand and an optional PPO backend. First place, PAVE Europe Next Gen Challenge, Brussels, 2025.

Aero-XRL · Airbus Fly Your Ideas, 2026

Co-developed an explainable AI decision-support prototype with data pipelines and dashboard interfaces.

Technische Hochschule Ingolstadt

Master’s studies, AI Engineering of Autonomous Systems · March 2026 | present

B.Eng., Autonomous Vehicle Engineering · Graduated 2026 · Thesis grade 1.0