Grab Tech

Engineering
Using Grab’s Trust Counter Service to Detect Fraud Successfully

This blog introduces Grab’s Trust Counter service for detecting fraud. It explains how the solution was designed so that different stakeholders like data analysts and data scientists can use the Counter service without any manual intervention from engineers. The Counter service provides a reliable data feed to the data science world.

Chao Wang · Muqi Li · Gregory Allan · Varun Kansal 21 Oct 2019 | 10 min read

Anti-Fraud Data Engineering Fraud Detection Security
Engineering
Being a Principal Engineer at Grab

Curious about what a Principal Engineer role at Grab entails? Our Principal Engineers' responsibilities range from solving complex problems, taking care of the system-level architecture, collaborating with cross-functional teams, providing mentorship, and more.

Roman Atachiants 25 Sep 2019 | 7 min read

Career Engineering Microservice
Data Science · Engineering
Data First, SLA Always

Introducing Trailblazer, the Data Engineering team’s solution to implementing change data capture of all upstream databases. In this article, we introduce the reason why we needed to move away from periodic batch ingestion towards a real time solution and show how we achieved this through an end to end streaming pipeline.

Johan Kok · Pramiti Goel · Feng Cheng · Irfan Hanif · Deepak Barr 1 Aug 2019 | 11 min read

Data Pipeline
Product
Save Your Place with Grab!

Do you find it tedious to type and search for your destination or have a hard time remembering that address of the friend you are going to meet? Well...Grab has a solution!

Summit Saurav · Neeraj Mishra · Shirley Yang 1 Aug 2019 | 5 min read

Data Maps
Product
No More Forgetting to Input ERP Charges - Hello Automated ERP!

Forgetting to input ERP charges was one of the biggest problems faced by our driver-partners. Read our blog to know how went about solving it.

Garvee Garg · Kudali Robinson Immanuel · Lara PuReum Yim 31 Jul 2019 | 6 min read

Data Maps Tech
Engineering
How We Built a Logging Stack at Grab

This blog post explains what we did to solve our inhouse logging problem around the lack of visualizations and metrics for our service logs.

Daniel Kasen 31 Jul 2019 | 11 min read

Logging
Data Science · Product
Making Grab’s Everyday App Super

To excel in a heavily diversified market like Southeast Asia, we leverage on the depth of our data to understand what sorts of information users want to see on our Feed and when they should see them. In this article we will discuss Grab Feed’s recommendation logic and strategies, as well as its future roadmap.

Justin Bolilia · Romain Basseville · Karen Kue 3 Jul 2019 | 7 min read

Data Science Feed Machine Learning Recommendations Superapp
Engineering · Data Science
Catwalk: Serving Machine Learning Models at Scale

This blog post explains why and how we came up with a machine learning model serving platform to accelerate the use of machine learning in Grab.

Nutdanai Phansooksai · Juho Lee · Pratyush More · Romain Basseville 2 Jul 2019 | 12 min read

Data Science Machine Learning Models TensorFlow

Prev

21 of 29

Next