Singapore Management University

1. Co-developed a hierarchical multi-agent reinforcement learning system combining self-organizing and deep neural networks, for simulated defense research technology licensed to DSO National Laboratories. 

2. Co-lead of the Trustworthy Federated Ubiquitous Learning project under SMU and AISG. Developing a novel self-organizing federated learning system for distributed data clustering, classification, and vertical federated learning. The system outperforms baselines by 25% in sparse data clustering and 3-4% in biomedical classification.

AI Research Scientist

NewYork.SG

Introducing AI to creatives such as designers, writers, creative directors, artists, etc.

Creative AI Advisor

Maargo Technologies

Digital mental health startup. Discontinued.

gomaargo.com (mobile).

Co-Founder

Entrepreneur First

Founder in Residence (EFSG10)

Nanyang Technological University

https://dblp.org/pid/186/7303.html

Working on algorithms for autonomous decision-making via  hierarchical and deep reinforcement learning. Robotic navigation. AI agents for games.

Reinforcement learning refers to the training of machine learning models to make a sequence of decisions that optimize an objective in the future.

+ Developed a multi-agent hierarchical reinforcement learning approach for robot coordination for Search & Rescue (in simulation), as part of the STE-NTU Corporate Lab project 'Joint Situation Awareness and Cooperative Reinforcement Learning'. 

+ Wrote the first-ever comprehensive survey covering the whole breadth of the Hierarchical Reinforcement Learning research up to the recent years.

+ Developed novel hierarchical learning algorithms using topological/graphical memory and goal-decomposition for long-horizon decision-making, which can be applied in tasks such as robot navigation, manipulation, and AI-based game playing.

Ph.D. Scholar

Served as a teaching assistant for the following courses:
1. CZ2001: Algorithms, Semester 2, 2018.
2. CZ3003: Software System Analysis and Design, Semester 1, 2019.
3. CZ2001: Algorithms, Semester 2, 2019.
4. CZ1015: Introduction to Data Science, Semester 1, 2020.
5. CZ3004: Multidisciplinary Design Project (MDP), Semester 2, 2020.

Graduate Teaching Assistant

Samsung Electronics

R&D Contribution: Novel methods for optimizing power consumption and visual quality of the Samsung smartphone display modules. The work led to two issued patents.

Senior Software Engineer

1. Worked with Display technology teams in SRI-B and Samsung HQ responsible for board bring-up and device driver upgrades critical for the successful commercial launch of Samsung smartphones in the worldwide market (Galaxy S4-variants, A7, Tab4, and other mid-tier smartphone variants).

2. R&D Contribution: Machine learning for power-efficient and fault-tolerant sensor management system for Smart Home IoT sensors with minimal error (average 0.24$^{\circ}$C) in temperature prediction. Published in IEEE IACC.

Software Engineer

Agastya International Foundation

Created didactic content for virtual Chemistry lab as part of the Lab-on-a-Tab project.

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