Singapore, Singapore
Talks about #mathematics, #datascience, #machinelearning, #artificialintelligence, #volunteering
Data Structures and Algorithms [CS2040S] (2024 Jan - 2024 May): • Led a tutorial group on data structures and algorithms in Java, guiding students through complex topics including graph algorithms, dynamic programming, and data structure optimization. • Provided individualized support to students, addressing their questions, and clarifying challenging concepts to foster a deeper understanding of algorithm design and analysis. • Received a student rating of 4.9/5.0, reflecting strong communication skills and a commitment to student success. • Conducted code reviews for student assignments, providing feedback to improve code quality and adherence to best practices. Discrete Structures [CS1231S] (2024 Aug - 2024 Dec, 2025 Aug - 2025 Dec): • Led a tutorial group on discrete mathematics, covering foundational topics like logic, proofs, set theory and combinatorics. • Facilitated open and insightful discussions in tutorial, building confidence in students and inspiring students' interest in mathematics. • Received a student rating of 4.6/5.0 and 4.8/5.0 respectively, reflecting dedication and improvement in quality of teaching. • Created custom problem sets tailored to strengthen students' understanding and increase exposure to slightly more advanced concepts.
- Architected and developed a scalable AI assistant that leverages a Retrieval Augmented Generation (RAG) framework with tool calling capabilities and AI agent decision-making, enabling dynamic integration with Outlook Suite and specialized REST API features. - Optimized the AI assistant using local language models, achieving a significant reduction in operational costs while maintaining system performance and security. - Collaborated closely with product managers and cross-functional teams, ensuring timely delivery of complex features and alignment with business requirements. - Conducted code reviews to maintain high standards of code quality and performance.
- Delivered a 2-hour workshop for undergraduate students focused on text generation techniques using Markov Chains and Recurrent Neural Networks. - Provided participants with a solid foundational understanding of language models, enabling them to integrate these concepts into their projects effectively.