Currently pursuing an Applied AI Solutions Development program and seeking a co-op opportunity for Fall 2024. I'm passionate about pushing the boundaries of AI, with a special focus on Reinforcement Learning and innovative AI applications in robotics.
- Reinforcement Learning
- Natural Language Processing
- Computer Vision
- Machine Learning
- Deep Learning
- Robotics
An innovative framework enhancing causal reasoning capabilities of large language models for enterprise applications. Utilizes advanced techniques like HCCL and CIAT for robust, interpretable results.
A cutting-edge project aimed at mitigating biases in AI-generated text using multi-agent deep reinforcement learning. Incorporates techniques like PPO, LoRA, and quantization.
An advanced computer vision application that leverages background subtraction and object tracking for real-time surveillance and security.
A sophisticated recommendation system combining collaborative filtering and content-based techniques for personalized movie suggestions.
- Languages: Python, R
- RL Frameworks: OpenAI Gym, Stable Baselines3
- ML/DL: TensorFlow, PyTorch, Scikit-learn
- NLP: NLTK, SpaCy, Hugging Face Transformers
- Computer Vision: OpenCV
- Robotics: ROS (Robot Operating System)
- Data Processing: Pandas, NumPy
- Cloud & DevOps: AWS, Docker, Git
- Applied AI Solutions Development - Currently Pursuing
- Actively seeking co-op opportunities for Fall 2024
- Advancing techniques in Deep Reinforcement Learning for robotic control
- Exploring applications of causal inference in AI and robotics
- Developing scalable and ethical AI solutions for enterprise and autonomous systems
I'm always excited to collaborate on innovative AI and robotics projects or discuss the latest trends in reinforcement learning and applied AI. Feel free to reach out!
"The future belongs to those who learn more skills and combine them in creative ways." - Robert Greene