Resume

Education

  1. PhD in Artificial Intelligence, University College London

    2017 — 2023

    Conducted research in the areas: deep learning, probabilistic & deterministic machine learning, Bayesian methods, continual learning, meta-learning, few-shot learning.

  2. MMath in Mathematics and Statistics, University of Oxford

    2012 — 2016

    Studied Mathematics and Statistics where I specialized into Machine Learning and Artificial Intelligence and began cultivating my passion for problem-solving with analytical and result-driven approaches.

Experience

  1. Lead Scientist, Projection Research

    2024 — Present

    Develops artificial intelligence and machine learning solutions to optimize business processes. Delivers AI and ML solutions across various industries, enabling workflow automation and enhanced decision-making.

  2. Research Grant, GoodAI

    2021 — 2022

    Research grant for extended research of Bayesian online meta-learning on lifelong-learning. Implemented Bayesian online meta-learning in the reinforcement learning settings.

  3. Teaching Assistant & Masters' Dissertation Supervisor, University College London

    2017 — 2021

    Tutored support sessions for a Master's machine learning course, assessed and graded coursework. Supervised summer research projects of Master's students in the topics of Bayesian methods, variational methods, reinforcement learning and meta-learning.

  4. Project Intern, Transport Research Laboratory

    Nov 2020 — Feb 2021

    Developed a traffic-signal controlling model using Python with PyTorch, OpenAI Gym and Simulation of Urban Mobility (SUMO) frameworks. Compared the model performances between noise-free and noisy environments, and between fixed-route vehicle trips and variable-route vehicle trips.

  5. Data Science Graduate Management Scheme, Axiata Group

    2016 — 2017

    Built a credit score model for a partnering financial institution using mobile data. Built machine learning models to score product purchase probabilities of potential customers. Implemented data science and machine learning methods for business analytics.

  6. Private Tutor, Quintessential Education

    Jan 2017 — May 2017

    Private tutor for International Baccalaureate (IB) subjects Mathematics and Statistics.

  7. Summer Research Placement, The Institute of Cancer Research

    Jul 2015 — Sep 2015

    Implemented various statistical models on the quality of life data of a clinical trial (TACT2) using STATA and compared the results, advantages and disadvantages of each model. Investigated the missing-ness of the clinical trial data using STATA to explore possible trends that might affect accuracy of the trial outcome.

My skills

  • AI & Machine Learning

    90%

  • Algorithm Design

    80%

  • Data Science

    85%

  • Leadership & Team Management

    70%

  • Product Development

    75%