Arnav Verma Email & Phone Number

🎓 As a junior-level Computer Science student at the University of North Texas, I'm passionate about exploring the frontiers of Artificial Intelligence, specifically Deep Reinforcement Learning, Transformer Architecture, and Large Language Model development. With a strong foundation in computer science fundamentals, I'm dedicated to advancing my knowledge and skills in these cutting-edge areas.🔧 Technical Expertise- Deep Reinforcement Learning: Q-Learning, Policy Gradient Methods, Actor-Critic, DQN, PPO, TD3, SAC- Transformer Architecture: Self-Attention, Multi-Head Attention, Positional Encoding, Transformers for NLP- Large Language Model (LLM) Development: Language Modeling, Text Generation, Conversational AI- Programming Languages: Python, Typescript, PyTorch, TensorFlow- Strong understanding of Data Structures, Algorithms, Computer Systems, and Software Engineering🔬 Research Interests- Developing efficient reinforcement learning algorithms for complex environments- Exploring applications of transformer architectures in computer vision and natural language processing- Investigating techniques for improving LLM robustness, explainability, and ethical considerations💡 Projects & Accomplishments- Developed a Deep Q-Network (DQN) agent to play Atari games, achieving state-of-the-art performance- Developed BERT Transformer from scratch- Implemented a transformer-based language model for text classification, surpassing benchmark results- Contributed to an open-source reinforcement learning framework, enhancing its scalability and performance🛠️ Skills- AI/ML Model Development- Research and Development- Programming (Python, PyTorch, TensorFlow)- Data Analysis and Visualization- Agile Development Methodologies- Collaboration and Teamwork📚 Education- Bachelor of Science in Computer Science, University of North Texas (2022-2026)- Relevant coursework: Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Computer Systems🤝 Connect with MeLet's discuss the latest advancements in AI, potential collaborations, or explore opportunities for growth and learning.