Darren Tan

- Taught upper secondary Science classes (average 3 to 10 students) in a tuition centre setting. - Taught JC-level Mathematics classes for a period, supporting students with syllabus-based concepts and question walkthroughs. - Prepared for lessons by reviewing centre-provided notes and materials in advance to ensure clear and structured delivery. - Guided students through key concepts, worked examples, and class discussions to strengthen understanding. - Adapted explanations and pacing based on students’ questions and class response during lessons. - Maintained an engaging and supportive classroom environment in small-group teaching settings.

Designed and shipped a modular AMR stack for a 30-robot simulator, connecting task intake, dynamic task allocation, path planning, and closed-loop execution. Developed FastAPI services (task management, telemetry ingest, robot control, LLM tool hooks) with Pydantic schemas and authenticated endpoints for reliable integration. Explored planning approaches with Google OR-Tools and paired them with a Swin Transformer predictor that achieved ~5% MAE, enabling smarter routing and replanning decisions. Added AI-in-the-loop cost shaping and replan gating to reduce unnecessary replans while keeping performance responsive to changing conditions.

Engaged in weekly discussions with relevant professors on what changes are required to improve the learning experience of the module. Made use of Github extensively to make changes collaboratively with a team of teaching assistants. Taught and planned the syllabus to students taking the course for learning Python to solve coding problems.