High-Scale CI/CD & Release Engineering
Developed and operated production CI/CD pipelines
supporting high-velocity software delivery across
distributed environments. Implemented automated quality
gates, environment promotion strategies, and rollback
mechanisms to improve deployment reliability and release
safety.
1,200+
daily deployments supported
AWS
GitHub Actions
CI/CD
Python
Cloud Cost Optimization
Identified infrastructure inefficiencies and cost-saving
opportunities across AWS and other technology vendors.
Evaluated platform usage and operational improvements to
identify opportunities for more cost-effective cloud
operations.
$73K+
in monthly cost optimizations identified
AWS
Cloud Architecture
FinOps
Production Platform Migration
Deployed hundreds of microservices and microfrontends
into a new production environment. Supported platform
delivery through infrastructure automation, deployment
coordination, and release management across multiple
environments.
400+ / 10+
microservices and microfrontends deployed
AWS
Terraform
Docker
ECS
Automated Environment Provisioning
Re-architected an internal environment-creation service
to streamline provisioning workflows and reduce
bottlenecks. Investigated sandbox API failures and
improved the reliability of environment creation.
85%
reduction in average request time
Python
AWS Lambda
Serverless
APIs
DORA Metrics & Engineering Analytics
Built an engineering metrics pipeline to collect and
process delivery data, backed by a serverless ingestion
layer, MongoDB, and a React dashboard. Enabled visibility
into software delivery performance through operational
analytics.
13K+
records processed per day
AWS Lambda
MongoDB
React
Python
Secure IoT Device Provisioning
Integrated public key infrastructure with Azure Device
Provisioning Service and IoT Hub to support secure
onboarding of connected devices. Contributed to
production-grade cloud and edge systems deployed
across large device fleets.
10K+
devices supported by provisioning integration
Azure IoT Hub
PKI
Docker
Cloud Architecture
Machine Learning for Churn Prediction
Applied Amazon SageMaker machine learning models to
customer churn prediction and decision support. Combined
cloud-based ML capabilities with existing business
workflows to support more informed, data-driven
decisions.
Amazon SageMaker
AWS
Machine Learning
Python