About
I am a Ph.D. Candidate in Computer Science at the National University of Singapore (NUS), supported by the President's Graduate Fellowship. My research interests include machine learning systems, big data systems, and agentic AI, with a focus on how to execute complex multi-step / multi-agent LLM workflows efficiently on modern hardware.
Before NUS, I completed a B.Sc. in Computer Science (double major in Electrical Engineering) at KAIST with a 4.20/4.30 GPA. My applied work also includes causal modeling for banking analytics and production ML pipelines.
Education
National University of Singapore (NUS) — Ph.D. in Computer Science
Aug 2024 – Present · Singapore
Ph.D. in Computer Science.
President's Graduate Fellowship (full support for exceptional research promise).
Research focus: high-throughput LLM serving, workflow-aware scheduling, cache reuse across agentic steps.
Korea Advanced Institute of Science and Technology (KAIST) — B.Sc. in Computer Science
Aug 2020 – Aug 2024 · Daejeon, South Korea
B.Sc. in Computer Science with a double major in Electrical Engineering.
Semiminor in Artificial Intelligence.
4.20/ 4.30 GPA
#1/ 90 in dept.
#3/ 258 in class
Dean's List (5 semesters)
Experience
Computer Architecture and Systems Laboratory, KAIST — Undergraduate Student Intern
Feb 2024 – Jun 2024 · Daejeon, South Korea
Worked on efficient LLM serving, including speculative decoding and throughput/latency trade-offs in vLLM-style inference setups.
Designed an algorithm to choose draft token counts for speculative decoding to improve serving efficiency.
Cyber-Physical Systems Laboratory, KAIST — Undergraduate Research Participation
Jun 2023 – Feb 2024 · Daejeon, South Korea
Built an AI-based UI Detection and Distribution system:
• Trained and deployed real-time UI element detectors.
• Built the extraction pipeline (vision inference → lightweight server via multiprocessing/sockets in Python → downstream delivery).
• Optimized runtime behavior.
Cyber-Physical Systems Laboratory, KAIST — Undergraduate Student Intern
Dec 2022 – Jun 2023 · Daejeon, South Korea
Extended a UI offloading / distribution system inspired by FLUID-XP.
• Studied an Android OS variant for UI streaming.
• Built a cross-platform client in Flutter.
• Implemented peer-to-peer connectivity (Wi‑Fi Direct, Bluetooth discovery).
Concurrency and Parallelism Laboratory, KAIST — Individual Study Student
Dec 2021 – Jun 2022 · Daejeon, South Korea
Studied persistent memory models, concurrent data structures, and file systems.
Implemented a log-structured file system for rv6 (an xv6-style OS in Rust) to explore concurrency and durability behavior.
Siam Commercial Bank — Data Science Intern (Data Analytics Function)
Jun 2023 – Aug 2023 · Bangkok, Thailand
Built a multi-task neural network model for conversion rate estimation with a causal debiasing objective.
Designed data prep / feature pipelines for large-scale model training using Apache Spark and Azure Databricks.
Rayong Engineering and Plant Service Co., Ltd. — Student Intern
Jun 2022 – Aug 2022 · Rayong, Thailand
Developed a machine vision "Pellet Analyzer" for plastic manufacturing quality control:
• Collected and labeled production images.
• Trained an object detection model.
• Shipped an interface for operators on the line.
Publications
Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective
SIGMOD 2026
N Wadlom, J Shen, Y Lu.
Proc. ACM Manag. Data 4, 3, Article 169 (June 2026). arXiv:2603.16104 · DOI
mCardiacDx: Radar-Driven Contactless Monitoring and Diagnosis of Arrhythmia
IEEE JTEHM 2026
A Kumar, N Wadlom, J Kwak, SH Kang, I Shin.
arXiv:2508.02274 · DOI
FlowMesh: A Service Fabric for Composable LLM Workflows
arXiv 2025
J Shen, N Wadlom, L Zhou, D Wang, X Miao, L Fang, Y Lu.
arXiv:2510.26913
Batch Query Processing and Optimization for Agentic Workflows
arXiv 2025
J Shen, N Wadlom, Y Lu.
arXiv:2509.02121
Glioma Brain Tumor Classification using Transfer Learning
ICEAST 2024
P Pilaoon, A Narkthewan, N Wadlom, R Varakulsiripunth, K Hamamoto, ...
Awards & Honors
President's Graduate Fellowship — National University of Singapore
2024
Competitive fellowship awarded to top Ph.D. students showing
exceptional research potential. Covers full tuition and stipend at
NUS.
College of Engineering Dean's List — KAIST
Fall 2021, Fall 2022, Spring 2023, Fall 2023, Spring 2024
Awarded to top-performing students (~top 3%) nominated by the
department.
KAIplus+ Scholarship — KAIplus
2022
Merit scholarship awarded to a small number of international KAIST
students each semester.
Honorable Mention — International Mathematical Modeling Challenge
2019
National team recognition for high-quality applied mathematical
modeling work.
Teaching
CS4262/5462 Machine Learning Systems — Teaching Assistant
AY2025/2026 Sem 2 · NUS
Undergraduate and graduate course. Instructor: Yao Lu.
CS6216 Advanced Topics in Machine Learning — Teaching Assistant
AY2025/2026 Sem 1 · NUS
Graduate course. Instructor: Yao Lu.
Skills
Programming
Python
C
Java
Dart
C++
Rust
Scala
JavaScript
ML / Data / Systems
PyTorch
TensorFlow
scikit-learn
Pandas
NumPy
Apache Spark
Spark ML
Azure Databricks
MySQL
Flask
Flutter
Research Areas
LLM Serving Efficiency
Agentic Workflows
Speculative Decoding
KV Cache Optimization
Query Optimization
Languages
Thai native
English fluent
Korean beginner
Contact
Email: noppanat@comp.nus.edu.sg or noppanat@u.nus.edu
Based in Singapore and Thailand. Phone: (+65) 8098 6325.