Smart IoT Cloud Platform

Overview

Led cloud-native development and a team of 5 engineers for a smart consumer IoT platform processing real-time device telemetry from connected smart beds. The platform managed cloud infrastructure for hundreds of thousands of connected devices, encompassing microservice architecture, real-time observability, data lifecycle management, and compliance reporting across AWS-native services.

Achievements

Reduced monthly AWS infrastructure costs by $12,000 through RDS layer redesign and data archiving strategies. Decreased customer service requests by 38% via proactive alerting enabled by a custom dynamic Datadog metrics library. Eliminated an 80% failure rate on compliance report generation by decomposing a synchronous process into a dedicated async microservice. Achieved 100% test coverage on all new services and raised legacy code coverage from 33% to 70%. Reduced time-to-production by 22%.

Responsibilities

• Led a team of 5 engineers end-to-end, reducing time-to-production by 22% from high-level requirement to production release.
• Designed and implemented data archiving strategies and RDS layer redesign, achieving $12,000/month infrastructure cost reduction.
• Built a dynamic Datadog metrics library enabling real-time observability across all service layers with proactive alerting that prevented downtime and measurably improved customer satisfaction.
• Decoupled heavy synchronous compliance reporting into a dedicated async microservice, eliminating near-completion failures that previously required full restarts.
• Executed Java 8 to 11 to 17 migration across legacy microservices; modernised the codebase and removed deprecated dependencies with perfect SonarQube scores.
• Conducted security code reviews; mentored junior engineers. Active member of the technical interviewer community across 5 years. Collaborated with distributed teams across US, Canada, India, Pakistan, Slovenia, UK, and Ukraine.

Technologies Used