Singapore, Singapore
- Developing a model for TikTok LIVE recommendation system
- Given an opportunity to interact with & learn from Jane Street's software engineers to understand how working in the company is like - Gained a basic understanding of OCaml & Functional Programming through the programme's various workshops
- Developed a Knowledge Graph RAG chatbot capable of utilizing Agents with LangGraph & Neo4j for Predictive Maintenance - Automated processing, storage and retrieval of unstructured text, tables, and images from PDFs to create structured data optimized for AI processing in RAG pipelines. - Utilised FastAPI to create real-time streaming APIs for LLM models, enabling efficient data processing and improving user experience
- Designed comprehensive testcases for multiple applications to ensure robustness - Automated the testing of private applications in a secure environment - Investigated and addressed the key challenges of accuracy and security in the development and testing of LLM-powered systems such as GovText - Conducted in-depth research on LLM architecture to enhance model performance, focusing on RAG pipeline optimisation (data processing, prompt engineering etc) to boost accuracy and relevance
- Utilised Angular to develop dynamic front-end components for an Operational Intelligence Multi-Site Dashboard - Leveraged Atlassian's DevOps suite to manage version control, optimise project workflow, and automate CI/CD processes - Participated in weekly scrums and sprint planning in an Agile team - Refined UI/UX design for multiple components based on stakeholder needs and user feedback