Kevin L. Email & Phone Number

Singapore

Role: ML Algorithm Engineering

Singapore

• Researched in the field of image generation and reconstruction, where usage and understanding of NeRFs and stable diffusion models are required. Assimilation of such models were also studied, such as state-of-the-art SSD-NeRFs that utilised both diffusion models and NeRFs.• Tested and trained advanced video editing methods such as neural network image congealing, where masks are identified on subjects and simplifies editing process by focussing on the derived region of interests

Singapore

• Actively researched Reinforcement Learning Algorithms to be used in complex game scenarios such as Pokémon Showdown, or games with multi-agent imperfect information scenarios, with probabilistic action selection• Looked into algorithms that cover both fully-observable (FOMDP) and partially observable (POMDP) state spaces • Such algorithms are: Deep Q-Learning (FOMDP), Deep Recurrent Q-Learning (FOMDP), Deep Counterfactual Regret Minimisation (POMDP)

Singapore

Working on AI technologies with Deep Learning Models such as GANs (Generative Adversarial Networks), Iterative-process CNNs (Convolutional Neural Networks) experimenting with various models to enhance image quality with accurate brain image reconstruction.In Joint Collaboration with Researchers in Chiba University, Japan to exchange information and work on different models to improve the quality of lives amongst people.

Singapore

Project Title: Embedded ML Enabled Edge Intelligence for IoT Devices• Researched on cutting-edge RL model paradigms such as Fully Observable Markov Decision Process (FOMDP) (Q-Learning, SARSA), Partially Observable MDPs (models surrounding Deep Recurrent Q-Learning Process) and other models (Multi-agent MDPs and Dynamic State MDPs)• Tested, Executed, and developed FOMDP (Deep Q-Learning) model for the purpose of overcoming jamming in the context of battlefield communications.

Singapore

• Handled data from over 200 registrations across the country • Worked with a team to create a competition website to cross 1000 users within 2 weeks of the competition• In charge of debugging the website, automating the creation and disseminating certificates of participation to participants • Part of a board of directors to collaborate, discuss and design the competition process

Bachelor Of Engineering - Be, Computer Science

Specialisation: Cybersecurity (2nd Uppers Honours/Distinction) Minors: Artificial Intelligence (AI), Digital Humanities

Bachelor Of Engineering - Be, Computer Science

SUTD Global Exchange Programme (GEXP) Courses taken: CMSC417 Networks, CMSC422 Introduction to Machine Learning, CMSC470 Natural Language.

Education record