Mumbai, Maharashtra, India
· Improved web performance by 33%, measured by load time and time to interactive, via GPU-accelerated libraries and optimized third-party JavaScript management.
· Led the MLOps and IaC strategy for a social media app using Kubernetes, Docker, Terraform, Jenkins, Prometheus, Splunk, and ELK, automating deployment and scaling of 25+ ML models for feed recommendations, processing 1M+ daily data points for 500K+ users, cutting costs by 30%, and boosting deployment times by 35%.
· Increased user engagement by 15% using Svelte, dynamic ReactJs UI with Redux and reusable components.
· Implemented a robust Webpack-based build process for efficient bundling and seamless frontend deployment.
· Orchestrated RESTful user journey APIs, ensuring scalability for 500,000+ TheLekhani users on AWS infrastructure.
· Containerized 12+ microservices using Docker for better scalability and efficiency on Kubernetes.
· Developed and implemented a custom Terraform provider for Splunk using Go, incorporating SAML authentication, defining provider entry points, and resource schemas to enhance security and efficiency in infrastructure management.
· Developed and maintained a Javascript-based API automation framework with Jest and Jenkins, automating tests for 20+ APIs, reducing manual testing by 75% and cutting release cycles by 30%.
· Enabled real-time data processing and long-running service operations with bidirectional gRPC streaming.
· Architected a highly scalable, distributed Nodejs streaming microservice using Kafka to transform raw 1.5 million+ ’change data capture’ (CDC) events to clean domain events and index them in ElasticSearch.
· Performance optimization for MongoDB by performing POCs, tuning queries, and indexing strategies.
· Collaborated on a caching strategy using Amazon ElastiCache (Redis), reducing database read latency from 120 ms to 35 ms and handling up to 2,500+ concurrent connections, enhancing the user experience for daily peaks of 50,000+ users.