GANJI CHANDRAKANTH

Accomplished Lead Software Engineer at GrabTaxi Holdings, specializing in distributed systems and backend platforms. Expert in Golang and operational excellence, I delivered a Generative AI refund assistant, enhancing customer satisfaction by 5%. Proven leadership in cross-functional collaboration and driving cost-effective solutions in cloud-native environments.

Bachelor of Technology in Computer Science and Engineering, Indian Institute of Technology Guwahati, India, 2012 – 2016

Lead Software Engineer, Backend

GrabTaxi Holdings Pte Ltd

https://www.grab.com/

chandu8594@gmail.com

A Minimalist Approach for Identifying Affective States for Mobile Interaction Design, https://www.researchgate.net/publication/319922617_A_Minimalist_Approach_for_Identifying_Affective_States_for_Mobile_Interaction_Design

MongoDB, Attendee, Singapore, 2025

Having lived and worked in Singapore for over 8 years, I have contributed to the design and delivery of backend platforms with significant impact across Southeast Asia, Japan, and global markets. My work spans ride-hailing, ERP, infrastructure inspection, and education domains—often collaborating with engineering, product, and business teams across APAC, Japan, China, Switzerland, and the US. These projects required not only strong technical architecture, but also cultural adaptability and clear communication to ensure successful regional adoption and long-term platform sustainability., GrabTaxi Holdings Pte Ltd, Lead Software Engineer, Backend, 01/17/22, Present, As a Distributed Systems and Platform Engineer, I design and deliver backend systems and infrastructure that power customer-facing experiences, business automation, and AI-driven workflows at scale., My work spans system architecture, platform enablement, and cross-regional collaboration to support business operations and customer experience initiatives across Southeast Asia., Deployed an in-house Temporal orchestration platform on AWS EKS, enabling 18+ tech families to run millions of workflows per month, reducing latency from minutes to under 100ms and cutting operational costs from ~USD 200K to ~USD 35K annually., Delivered a Generative AI–powered refund assistant, improving CSAT by 5%, resolving eligible cases instantly, and successfully rolling out to 50% of users across Southeast Asian markets., Built a No-Code Chatbot Designer Platform that reduced support flow creation time from 1 month to 2 days, cutting platform costs from ~USD 500K to ~USD 30K annually and enabling rapid deployment for multiple teams., Implemented cancellation quota policies for food and transport services, detecting fraud and reducing regional order cancellation losses by ~USD 150K per month., Reduced noisy alerts by 80% and improved reliability with 30% faster MTTD and 40% better MTTR, achieving 70% alert/runbook coverage and closing critical process gaps via tabletop drills., Lowered DSAT and UDR by ~5% in delivery-related support tickets, decreasing high-volume agent contacts and boosting user trust through improved order transparency., Screening Eagle Dreamlab Pte. Ltd, Software Engineer, 08/02/21, 01/14/22, As a backend engineer at Screening Eagle Technologies, I worked on cloud-based inspection platforms used globally across the construction, civil engineering, and infrastructure sectors., My focus was on ensuring backend stability, data consistency, and performance in support of non-destructive testing workflows., Boosted analytics performance by 10× through AWS RDS read replicas, schema/index redesign, and backend query optimisations — ensuring stable, high-speed insights during peak global usage., Prevented large-scale platform outages by implementing a dynamic EC2 Fargate instance allocation model, enabling reliable processing of datasets up to 64GB without crashes., Eliminated critical data retrieval failures by fixing a timestamp-based pagination bug, using TDD to ensure accuracy and long-term stability in production., NTUC Enterprise Nexus Co-operative Limited, Senior Software Engineer, 04/01/21, 07/31/21, As part of the digital transformation team at NTUC Enterprise Nexus, I worked closely with NTUC First Campus, one of Singapore’s largest preschool operators, to modernize its nationwide school management system., I contributed to the design and development of backend services supporting enrolment, payments, compliance, and stakeholder dashboards., Digitally transformed ECDA-compliant enrolment and approval workflows by launching a fully automated Adobe eSignature system, eliminating manual errors and reducing parent–staff processing time by ~60%., Implemented a recurring payments platform integrated with OCBC Mastercard Gateway, reconciling ~10K monthly transactions and automating recovery from downstream failures — cutting manual reconciliation time by ~95%., Led large-scale data migration of ~530 GB structured data and ~5 TB media assets from on-prem systems to cloud, ensuring 100% data integrity through coordinated validation with 100+ school points-of-contact., Works Applications Singapore Pte. Ltd, Software Engineer, 10/01/16, 02/13/19, At Works Applications, I developed backend modules within a large-scale ERP suite serving major Japanese enterprises., My focus was on building features across budgeting and expense claim workflows, ensuring data consistency, reusability, and auditability within a regulated financial environment., Reduced manual data entry in expense claims by ~70% through a smart expense autofill system that generated claims directly from email inputs., Accelerated recurring expense submissions by developing a 'copy expense claim' feature, cutting form completion time for repeat claims by ~60%., Improved financial compliance and consistency by designing a reusable budget component library enforcing department-level constraints across multiple ERP microservices.

Led the rollout of an Operational Excellence Framework, defining and tracking key reliability metrics such as MTTD (Mean Time to Detect), MTTR (Mean Time to Recover), and Postmortem Action Completion, Conducted and documented Root Cause Analyses (RCA) and postmortems to improve system resilience and incident response processes, Designed and ran a Kubernetes Learning Curriculum to up-skill engineers across squads, Facilitated RFC reviews, internal workshops, and cross-squad knowledge-sharing sessions to drive engineering alignment and best practices, Championed developer enablement through platform tooling, automation, and reduced onboarding friction, Collaborated with multiple teams to define service standards, monitoring thresholds, and runbook-driven operations, Golang, Python, Java, JavaScript, SQL, C/C++, AWS (EC2, EKS, RDS, S3, IAM, CloudWatch), GCP (Pub/Sub, BigQuery, Cloud Functions), Kubernetes (EKS), Docker, Terraform (Infrastructure as Code), Helm, Kafka, Google Pub/Sub, Redis, Datadog, Prometheus, Grafana, CloudWatch Logs, Kibana with Elasticsearch, Micro-services Architecture, Monolith, Event-Driven Design, RESTful APIs, gRPC, Workflow Orchestration using Temporal (Open Source), Distributed Systems, Feature-Flag Deployments, Secure Webhook Integrations, System Design for high-throughput, low-latency, and cost-optimized backend platforms, Alerting & Incident Management: PagerDuty, Slack Alerts, Monitors as Code, Operational Practices: Incident Run-books, Tabletop Exercises, Postmortems, System health monitoring: Latency, error rates, uptime, MySQL, ScyllaDB, Cassandra, DynamoDB, Python scripts and SQL stored procedures for structured migration (e.g., MS-SQL → MySQL), Python-based pipelines for batch data import/export, validation, and S3 sync, BigQuery, Google Data Studio — building dashboards for operational and product insights, Kafka for asynchronous processing and event-driven workflows, Redis for low-latency data access and background job coordination