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How much do you actually make when transferring balance from CPF OA to SA? The answer is more than you think!

My fiance and I had extra monies in our CPF OA after booking a flat. We wanted to find out how much more interest we get if we transfer the balance to SA.

Using a rubric to assess candidates for hackathon/scholarship? Think again.

Rubrics are useful tools used to assess students according to learning outcomes. However, outside of the education system we still see it being used everywhere, from case study competitions, to hackathons, interviews or scholarship assessments.

How I Build My Blazing Fast blog with Gatsby & Netlify CMS

How I build a beautiful blog generated from Gatsby.js and managed by Netlify CMS to get the performance of a static website and usability of a full featured CMS.

Agility Under Uncertainty

In this post, I will share different choices the engineering team has made throughout the early phase of the product development to navigate uncertainty, to the extent of building uncertainty within the product. For those curious about how life is like building a product for the government, you get a rare peek into how one team does it.

Implementing End-to-End Encryption on a Quadratic Voting (QV) Application

Recently, my tribe held our promotion nomination exercise using my quadratic voting app. The exercise allow all members of the tribe to vote one another for the upcoming promotion. One of the concerns of using the quadratic voting application was that I could potentially read and change the votes since I've database access. How would I convince my colleagues to trust me?

Quadratic voting for group consensus

In a series of unfortunate events, you and your friends are left stranded in the middle of the Atlantic ocean. Together, you have managed to salvage some items from the wreck. As a group, your task is to agree on the importance of these items. Your decisions will determine if you get to walk away alive. The problem now is how do you decide on the importance? Quadratic voting can help!

Comparison of Portfolio Optimisation Techniques - Monte Carlo vs SLSQP vs Bayesian

Given a basket of assets, how would you allocation your capital across the different assets to maximize returns and minimize risk? This problem can be seen as a classic optimisation problem in data science. In this experiment, I will attempt to compare the performance of three different techniques, Monte Carlo, SLSQP and Bayesian Optimisation on a simple 3-Fund Portfolio for investors in Singapore