Hi! I’m Udith Weerasinghe, a passionate aspiring data science and AI engineering enthusiast. I enjoy applying statistical and machine learning techniques to solve real-world problems and love designing analytics workflows that provide actionable insights to support strategic decision-making. I thrive in collaborative, agile environments and am always motivated by innovation and continuous learning.
With hands-on experience in developing predictive models, fine-tuning AI systems, and deploying solutions using large language models and modern full-stack technologies, I aim to contribute to cutting-edge AI research and practical applications. I look forward to leveraging my skills to build next-generation AI-powered solutions that have a meaningful impact.
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Developed a system to digitize and structure enterprise knowledge by leveraging large language models (LLMs) for intelligent document parsing, context extraction, and natural language querying. The solution enabled efficient access to unstructured organizational information, transforming static documents into dynamic, queryable knowledge assets. Focused on optimizing retrieval quality, response relevance, and system adaptability to diverse enterprise domains.
: Python, LangChain, FAISS, OpenAI API, OpenAI Whisper, Langgraph, Prophet
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