Hi!
This is where I keep important achievements from school and past
internships.
View my resume here (Updated Mar 2026): Link to Resume
Portfolio (Updated Dec 2024)
View my portfolio slides summarising my past projects and achievements
Link to portfolio
Publications
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Dec 2023 | IEEE TALE 2023 | Peer Learning in an Undergraduate Linear
Algebra Course. A Social Network Analysis. |
Publication
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Best Paper Award
Preprints
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Nov 2025 | Understanding the Nature of the Depth-1 Equivariant Quantum Circuit |
ArXiv Link
Past Research Summaries
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Aug 2025 | Quantum Reinforcement Learning for Combinatorial Optimization | Assistantship with SMU Faculty
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1. Training Optimization for QRL of a Depth-1 Ansatz for the Travelling Salesman Problem — arXiv preprint (13 Nov 2025) |
View Manuscript
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2. Comparison of a Probabilistic Nearest Neighbour Algorithm with the Depth-1 Ansatz for TSP |
View Summary
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May 2024 | Advancing Quantum Optimal Control using Deep Reinforcement Learning | View Summary | Internship at A*STAR
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Aug 2023 | Text to Speech Synthesis to create Singaporean Speaking Models | View Summary | Assistantship with SMU Faculty
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Apr 2023 | Social Network Analysis to analyze Peer Learning | View Publication | Assistantship with SMU Faculty
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Feb 2023 | Natural Language Processing to analyze student reflections | View Summary | Assistantship with SMU Faculty
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Jan 2022 | Model Prediction for Cabin Air Condition Filter Lifetime | View Summary | Assistantship with BOSCH South East Asia
Internships
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May 2024 | A*STAR - Research Intern for Quantum Control, Reinforcement
Learning |
Certificate
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May 2023 | Continental Singapore - Fullstack Developer |
Certificate
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Dec 2021 | Bosch South East Asia - Data Science Research Intern |
Certificate
ACM-ICPC
View my ICPC ID here: Link to ICPC ID
- 2026 ICPC - Team "DROP TABLE USERS"
- 2025 ICPC - Team BogoSort
SMU BSc Computer Science (2022-2026)
Academic Transcript (Updated 19 May 2026) | Graduation Certificate | Enrolment Information | SCIS Achievements Scholarship | Internship and CSP Certificate
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Dean's List
- Teaching Assistants
- Jan 2025 | Principles of Machine Learning
- Aug 2024 | Data Structures and Algorithms
