• Worked with large-scale distributed databases such as Cassandra and DynamoDB; helping design and develop a multi-stage stream processing pipeline to store the data and concurrent backend servers/APIs built using gRPC protocols in Kotlin to efficiently consume the data

• 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

• Created an interactive, curated search engine for wearable technologies

• 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

• Worked in a team focused on creating the interfaces for resolving advertiser issues in a web development role using technologies like PHP, React, Redux and RxJS

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

• Worked on finding neural networks driven approach to object tracking and detection.

• 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