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🔭 Current Focus:
I’m working on Driving Sentiment Detection to enhance vehicle safety and user experience. -
🌱 Learning Goals:
Deep diving into Large Language Models (LLM), Langchain, Huggingface, and MLOps to build scalable and efficient AI systems. -
👯 Collaboration Interests:
Open to collaborations in LLM projects, Generative AI applications, and MLOps workflows. -
🤝 Key Skills Gained:
- Building advanced Generative AI applications with Langchain and Huggingface.
- Designing Retrieval-Augmented Generation (RAG) pipelines for enhanced performance.
- Customizing and fine-tuning Huggingface models for domain-specific use cases.
- Deploying AI models using various strategies for scalability and reliability.
- Implementing MLOps pipelines for AI system deployment, monitoring, and optimization.
- Utilizing tools like Docker, MLflow, and Jenkins for continuous integration and delivery in AI workflows.
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📝 Publications:
Explore my research articles on Google Scholar or ResearchGate. -
📫 Contact Me:
Feel free to reach out via arupreza@sch.ac.kr or aruphimonix@gmail.com.
