Re-designed backend to reduce read side latencies by setting up a distributed caching layer using Redis and creating data pipeline operators in Kotlin to populate the cache

Built a custom Kubernetes controller in Go to relay and store information about the state of services, pods and controllers present inside the cluster

Gained DevOps experience including creating Dockerfiles to containerize applications, Kubernetes manifests to deploy applications and Gradle manifests for creating Java/Kotlin projects

Setup GitOps on Kubernetes clusters integrating ArgoCD with Jenkins pipelines and helped create a monitoring infrastructure using open source tools such Prometheus for scraping metrics from hosts and pods, in conjunction with Grafana for building dashboard and alerting

Created an end to end automated testing suite for a distributed system using Python along with configuration tools like Ansible and AWS Cloudformation with PyTest framework

Worked on building front-end applications with Vue.js and TypeScript

Worked in a full stack role using React and Redux on the frontend, along with Python and Flask along with MySQL on the backend and database respectively, acquired valuable design experience working as the sole software developer

Developed and integrated mechanisms for version control and user permission configuration with a collaborative editing platform

Worked specifically with convolutional neural network architectures like SSD and YOLO in deep learning frameworks like Caffe optimized for image detection

Worked on the 1 billion images project which aims to process 1 billion images in under a day using the frameworks mentioned above