GrabMart data for faster disease outbreak detection
This article explores how aggregated GrabMart transaction data could supplement public health surveillance while protecting user privacy and accounting for the limitations of retail signals.
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Articles
GrabMart data for faster disease outbreak detection
Smarter personalization: How property data helps us understand user price sensitivity
Powering AI-led research through simulation
Automated merchant review summary system with integrated feedback
Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs
Building Jarvis Pro: Route first, answer later
Grab Bench: Evaluating AI on Grab-shaped production work
How AI is transforming analytics at Grab
Crowdsourced taxonomy verification: A feedback-driven framework for refining knowledge graph relationships via online search interactions
Agent platform (Part 1): How we help Grab build and run AI agents at scale
Scaling Grab's Data Lake: Our journey to Apache Iceberg adoption
Migrating Counter Service storage: Design choices and learnings
Scaling out Distroless adoption With AI
Palana (Part 2): Architecting isolation, identity, and auditability for AI agents
Palana (Part 1): Why Grab built a secure platform for autonomous AI Agents
From decentralized Docs-as-Code to a centralized repository: Evolving Grab's documentation strategy
The Hugo evolution: Engineering Grab's unified, one-click data ingestion platform with Apache Flink
Scaling developer experience: How we improved Android Studio in a large monorepo
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Data Mesh at Grab (Part II): The foundational tools behind certification
From firefighting to building: How AI agents restored our team’s core productivity
Enabling R8 optimization at scale with AI-assisted debugging
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Cursor at Grab: Adoption and impact
Docker lazy loading at Grab: Accelerating container startup times
From deployment slop to production reality: How BriX bridges the gap with enterprise-grade AI infrastructure
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How Grab is accelerating growth with real-time personalization using Customer Data Platform scenarios
A Decade of Defense: Celebrating Grab's 10th Year Bug Bounty Program
Real-time data quality monitoring: Kafka stream contracts with syntactic and semantic test
SpellVault’s evolution: Beyond LLM apps, towards the agentic future
Grab's Mac Cloud Exit supercharges macOS CI/CD
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Machine-learning predictive autoscaling for Flink
Modernising Grab’s model serving platform with NVIDIA Triton Inference Server
Highly concurrent in-memory counter in GoLang
User foundation models for Grab
Powering Partner Gateway metrics with Apache Pinot
Taming the monorepo beast: Our journey to a leaner, faster GitLab repo
Data mesh at Grab part I: Building trust through certification
The evolution of Grab's machine learning feature store
Grab's service mesh evolution: From Consul to Istio
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Improving Hugo stability and addressing oncall challenges through automation
Building a Spark observability product with StarRocks: Real-time and historical performance analysis
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Grab AI Gateway: Connecting Grabbers to multiple GenAI providers
Embracing passwordless authentication with Grab’s Passkey
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LLM-assisted vector similarity search
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Grab Experiment Decision Engine - a Unified Toolkit for Experimentation
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Managing dynamic marketplace content at scale: Grab's approach to content moderation
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Road localisation in GrabMaps
Graph modelling guidelines
Scaling marketing for merchants with targeted and intelligent promos
Stepping up marketing for advertisers: Scalable lookalike audience
Building hyperlocal GrabMaps
Streamlining Grab's Segmentation Platform with faster creation and lower latency
Unsupervised graph anomaly detection - Catching new fraudulent behaviours
Zero traffic cost for Kafka consumers
Go module proxy at Grab
PII masking for privacy-grade machine learning
Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation
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Message Center - Redesigning the messaging experience on the Grab superapp
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Exposing a Kafka Cluster via a VPC Endpoint Service
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