Whang Shih Ee

Whang Shih Ee

MEng Engineering · University of Cambridge · IMDA Scholar

Engineer at Cambridge (Lucy Cavendish College) interested in AI safety and robotics.

Currently researching LLM generalisation under finetuning through SPAR.

🧠

LLM Generalisation under Finetuning

SPAR Research · Feb 2026 – Present

Alignment research on LLM generalisation under finetuning, covering literature review, experimental design, and result analysis.

🤖

IDP Robot — 1st Place

Integrated Design Project · Cambridge · 2026

Built a robot from scratch in a 6-person team, taking first place. Led software and project management across hardware, electrical, and software sub-teams.

🏗️

Construction Robot Mapping System

Fabrica AI · Software Engineering Intern · Jul – Sep 2025

Integrated a new LiDAR into a construction robot's mapping system in a Dockerised ROS 2 environment, improving range and reducing sensor redundancy.

  • Silver
    Asian Physics Olympiad 2021
    Placed 33rd globally, 2nd in Singapore
  • Gold
    Singapore Physics Olympiad 2020
    Placed top 28 nationally
🧠

LLM Generalisation under Finetuning

SPAR Research · Feb 2026 – Present

Alignment research on LLM generalisation under finetuning, covering literature review, experimental design, and result analysis.

🛡️

CAISH Alignment Fellowship & Alignment Desk

Cambridge University AI Safety Hub · Oct 2024 – Dec 2025

Six-week reading group and workshop series on state-of-the-art AI safety research; also produced two written posts on AI safety evaluations for the CAISH Alignment Desk.

⚙️

Alignment Research Bootcamp Oxford (ARBOx)

Oxford · Jan 2025

Two-week technical AI safety bootcamp covering transformers, reinforcement learning, and mechanistic interpretability.

🤖

IDP Robot — 1st Place

Integrated Design Project · Cambridge · 2026

Built a robot from scratch in a 6-person team, taking first place. Led software and project management across hardware, electrical, and software sub-teams.

🏗️

Construction Robot Mapping System

Fabrica AI · Software Engineering Intern · Jul – Sep 2025

Integrated a new LiDAR into a construction robot's mapping system in a Dockerised ROS 2 environment, improving range and reducing sensor redundancy.

📡

Drone Countermeasure Systems

DSTA — Defence Science & Technology Agency · Engineering Intern · Apr – Sep 2024

Developed drone countermeasures, including an alternative video transmission scheme that improved frame rate by 30% and cut bandwidth usage by 75%.

✈️

F-16 Aircraft Maintenance

Republic of Singapore Air Force · Technician · Mar 2022 – Nov 2023

Serviced F-16s for daily training flights; awarded Operational Airman of the Month in June 2023 and selected for multiple overseas assignments.

🔬

Novel Image Embedding Generation

DSO National Laboratories · Research Intern · Jan – Mar 2024

Researched and implemented a novel method for generating image embeddings from small datasets, building a documented Python codebase from scratch.

🚗

Aerial Vehicle Classification Model

DSTA · Research Intern · Oct – Dec 2018

Built a computer vision model to detect and classify vehicles in aerial imagery; one of four projects selected to present at the 2019 NUSH Research Congress.

☀️

Dye-Sensitised Solar Cell Research

National Institute of Education · Research Intern · Jun 2020 – Jun 2021

Investigated dye-sensitised solar cells with Prof. Tsao Hoi Nok, delivering a poster and contributing to a research paper.

Essays on whatever.

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Education
Work & Service
Projects & Research
Education
Work
Projects
2025–26
Cambridge, Year 2
MEng Information Engineering
Top 4% of cohort. Signal processing, control systems, AI/ML, mathematics.
Fabrica AI
Software Engineering Intern · Jul–Sep 2025
LiDAR mapping system, ROS 2, Docker. Automated construction robots.
SPAR Research
Feb 2026 – Present
LLM generalisation under finetuning. Literature review, experiments, result analysis.
IDP Robot — 🥇 1st Place
Integrated Design Project · 2026
Software lead & PM across 6-person team. Simulation, test suite, visualiser. Built from scratch.
2024
Cambridge, Year 1
MEng Information Engineering
Engineering foundations, electronics, maths, programming.
DSTA Engineering Intern
Apr – Sep 2024
Drone countermeasures. Improved video transmission (+30% fps, −75% bandwidth). Network architecture migration.
DSO Research Intern
Jan – Mar 2024
Novel image embedding generation from small datasets. Python, NumPy.
CAISH Fellowship & Alignment Desk
Oct 2024 – Dec 2025
6-week alignment fellowship. 2 written posts on AI safety evaluations.
ARBOx Bootcamp
Oxford · Jan 2025
2-week technical bootcamp: transformers, RL, mechanistic interpretability.
2022–23
Republic of Singapore Air Force
Aircraft Technician · Mar 2022 – Nov 2023
Serviced F-16s for daily training flights. Operational Airman of the Month (Jun 2023). Selected for multiple overseas assignments.
2020–21
NUS High School
Diploma · 4.9/5.0 GPA
Principal's List (top 5%). CS (A*), Physics (A*), Maths (A*), Chemistry (A*).
NIE Research Intern
National Institute of Education · Jun 2020 – Jun 2021
Dye-sensitised solar cell research with Prof. Tsao Hoi Nok. Research paper and poster.
Asian Physics Olympiad
2021 · Silver
33rd globally, 2nd in Singapore.
2018–19
NUS High School
Early years
Singapore Junior Physics & Chemistry Olympiads (Gold, 2 consecutive years).
DSTA Research Intern
Oct – Dec 2018
Aerial vehicle classification model. Selected to present at 2019 NUSH Research Congress.