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TextI am a final-year Software Engineering student specializing in AI systems, with strong hands-on experience in LLM fine-tuning, dataset augmentation, and building real-time, user-facing AI applications. My work includes developing and optimizing emotion-aware conversational AI using Python, PyTorch, and Hugging Face Transformers, where I managed the full pipeline from data collection and annotation to model training and deployment for over 1,900 users. I have a solid background in designing and maintaining scalable, fault-tolerant infrastructure, and I am skilled in leveraging tools like llama.cpp, Whisper.cpp, and AWS to support efficient local inference and data workflows. My experience spans NLP, speech integration, and creating robust pipelines for AI model evaluation, making me well-equipped to contribute to high-quality data labeling and AI training data initiatives.
The project is an AI entertainer similar to the popular AI entertainer Neuro-sama. The LLM was trained on 8,000 curated examples to customise it's writing style.
Bachelor of Software Engineering (Honours), Software Engineering
Technical Director
