My Teaching Subject(s)Pre-school - English, Creative Writing, Phonics
Primary - English , Maths , Science , Creative Writing , Phonics , Hindi
O level - English, E Maths , A Maths , Biology , Literature , Hindi
A level - Literature , Computing, H3 Economics
IB / IGCSE - English Language, English Literature, Mathematics, Mathematical Studies, Physics , Biology , Economics , Extended Essay , Environmental Systems, Design Technology, Geography , History , Theory of Knowledge , Art & Design, Psychology
Diploma / Degree - Mathematics, Statistics, Economics , Biology, Computer Science
Language - English , Hindi
Computing - ASP, C++ , C# , Java , PHP , Python , VB , MSSQL , Oracle , Photoshop , Illustrator, AutoCAD , GIS , 3D Design , Flash , Web Design , Linux , Macintosh, Solaris , Windows , MS Office , MySQL
Special Skills - Group Tuition, SAT English, SAT Maths
Sports - Badminton, Yoga
Experience
I am a Computer Science graduate from Nanyang Technological University (NTU) with strong academic and industry experience in programming, artificial intelligence, machine learning, software engineering, cloud computing, data analytics and mathematics.
I currently work as an AI and LLM Evaluation Engineer (Data Scientist) at Apple Inc. , where I evaluate AI and large language model systems, analyse model behaviour, identify errors and edge cases, and assess the quality and reliability of AI-generated outputs.
Before Apple, I worked as a Generative AI Engineer at Panasonic R&D Centre Singapore, where I gained hands-on experience with large language models, RAG, AI agents, model evaluation, quantisation, LoRA, LangChain and other generative AI technologies. I have also worked as a Software Developer at Augmentus Robotics, an AI Software Development & Integration Intern at Inspiraz Technology, and co-led an NTU venture project with MISUMI Kaizen OÜ Group, where we developed an AI-powered sales platform. My technical experience also includes databases, REST APIs, React, Docker and cloud technologies through work at NTU's Earth Observatory.
During my Computer Science degree at NTU, I studied areas including programming, data structures and algorithms, machine learning, deep learning, artificial intelligence, databases, operating systems, software engineering, mathematics and statistics. Beyond academics, I have held several student leadership and mentoring roles at NTU, including Group Leader, Chief Group Leader, Head Safety Officer and Welcome Centre Student Ambassador, which strengthened my ability to guide, communicate with and support students from different backgrounds.
My teaching approach is patient, structured and highly personalised. I break difficult concepts into simple, manageable steps and use examples to make abstract ideas easier to understand. I adapt my pace and explanations to each student's level instead of using a one-size-fits-all approach. My goal is not just to help students arrive at the correct answer, but to ensure they understand the reasoning behind it and become confident enough to solve similar problems independently.
For programming and mathematics in particular, I focus on building strong fundamentals, logical problem-solving skills and a clear approach to tackling unfamiliar questions. I am comfortable teaching students at different levels in Python, programming, computer science, mathematics, statistics, data analysis, and introductory AI and machine learning concepts.
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