Summary
Shawn Yap is an AI Software Engineer with nine years of hands-on experience applying ML and NLP to real-world problems, currently integrating LLMs and ASR into hospitality workflows. With a Bachelor in Computer Science (minor in Modern Languages) from NTU and international study in Stuttgart, he bridges technical depth—Python, PyTorch, HuggingFace, BERT, Faiss—with a linguistics-informed approach to multilingual and Singlish modeling. His projects include building an audio deepfake classifier that improved EER by 30%, noise-reduction enhancements to Whisper, and RAG pipelines with conversational memory, demonstrating a strong focus on robust production-ready ML systems. A curious polyglot and former student leader who captained an inter-hall football team, he blends cross-disciplinary interests (computational medicinal chemistry, computational linguistics) with practical delivery. Open to collaboration, he shares code on GitHub and is exploring LLM fine-tuning, multimodal AI, and prompt engineering to push conversational AI forward.
9 years of coding experience
2 years of employment as a software developer
Singapore-Cambridge GCE 'A' Levels Science Stream, Singapore-Cambridge GCE 'A' Levels Science Stream at Pioneer Junior College
Semesteraustauschprogramm (Sommer) | Semester Exchange Programme (Summer) Computer Science, Semesteraustauschprogramm (Sommer) | Semester Exchange Programme (Summer) Computer Science at University of Stuttgart
Bachelor of Computing (Honours) Computer Science with Minor in Modern Languages, Bachelor of Computing (Honours) Computer Science with Minor in Modern Languages at Nanyang Technological University Singapore
German, English, Chinese, Chinese, Malay, Italian, Spanish