I'm Shailesh Chaudhary, a passionate developer and researcher currently working at the intersection of drug discovery and artificial intelligence. My work focuses on building Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to revolutionize how we discover and develop new therapeutics.
With a strong background in machine learning, knowledge graphs, and natural language processing (NLP), I aim to harness the power of AI to accelerate drug discovery pipelines, making the process more efficient and data-driven.
Some of the key areas I focus on:
- LLM-based systems: Leveraging state-of-the-art language models like ChatGPT, Mistral, and LLaMA3 to interpret and analyze complex biomedical data.
- RAG (Retrieval-Augmented Generation): Developing cutting-edge systems that combine structured knowledge (graphs, databases) with unstructured data (research papers, clinical data) to generate meaningful insights.
- Knowledge Graphs: Building and integrating domain-specific knowledge graphs to organize and retrieve vast biomedical information.
- AI in Drug Discovery: Utilizing AI techniques to analyze chemical structures, predict drug-target interactions, and optimize drug candidates.
I enjoy collaborating with experts in AI and biomedical research to push the boundaries of innovation in health and life sciences. If you're interested in LLMs, drug discovery, or cutting-edge AI technologies, feel free to connect!
