MSc Student in Smart, Connected and Autonomous Vehicles at the University of Warwick - WMG
I'm Varun, an MSc student passionate about developing and deploying Artificial Intelligence solutions for transportation, particularly in Autonomous Vehicles. This repository showcases my projects related to leveraging Foundation Models (LLMs) for perception, planning, and decision-making in self-driving cars.
Key Skills:
- AI & Machine Learning: Supervised/Unsupervised Learning, Deep Learning (CNNs, LSTMs, RNNs), Reinforcement Learning, Generative AI (GANs), Explainable AI, Foundation Models (LLMs)
- Autonomous Vehicles: Sensor Fusion, Path Planning, ISO26262, Simulation (CARLA, IPG CarMaker)
- Programming Languages: Python (PyTorch, TensorFlow), C++, Java, JavaScript (HTML/CSS)
- Other Skills: Docker, Kubernetes, CUDA Programming, Git, Version Control
Excited to collaborate!
Connect with me:
- LinkedIn: https://www.linkedin.com/in/varunvaidhiya/
- Email: [email protected]
Current Project: Leveraging Foundation Models for Autonomous Vehicles (Dec '23 - Present)
This project explores the potential of Foundation Models (LLMs) for various tasks in autonomous vehicles, including perception, planning, and Natural Language Interaction. I'm investigating techniques like Prompt Engineering, Fine-tuning, Knowledge Distillation, and model compression for efficient deployment on edge devices.
Additional Information:
- Explore the code in the
src
directory. - Find data processing scripts and configurations in the
data
andconfigs
directories, respectively. - Refer to the
notebooks
directory for exploratory analysis and visualizations. - Tests for different modules are located in the
tests
directory.