Machine Learning Engineer

• Developed and deployed an end-to-end ML pipeline that fine-tuned a LLaMA-based large language model on domain-specific data, resulting in 25% improvement in inference accuracy and a 15% reduction in model drift
• Engineered a high-performance inference service using vLLM, achieving a 40% reduction in latency and a 50% increase in throughput by leveraging dynamic batching and GPU memory optimizations
• Developed and deployed a Spring Boot-based RESTful API for data mastering, enrichment, and certification, leveraging Maven for streamlined dependency management and advanced caching to improve performance
• Integrated robust CI/CD processes, monitoring, and automated scaling strategies to ensure continuous model improvement and reliable production deployments across cloud-based environments

NLP Research Intern

• Developed a machine learning language model tailored for English-Malay code-switched data, achieving a 20% improvement in accuracy over baseline models by implementing advanced statistical and neural augmentation techniques
• Integrated linguistically informed algorithms—including part-of-speech tagging and grammatical coherence—to enhance multilingual NLP robustness and advance the state-of-the-art in code-switching language processing

App Developer Intern

Built a web app that keeps track of inventory of Army Camp in a Digital Ledger through an intuitive UI

Bachelors of Engineering

ACL ARR December 2024