Yash Gupta

- Engineered 10+ microservices using Go, Node.js, PostgreSQL, Redis, and AWS — handling 5K+ daily API requests at 99.7% uptime with a 60x response time improvement through caching, queuing, and query optimization. - Architected secure multi-tenant RBAC systems with JWT authentication across 30+ RESTful APIs, serving 2000+ users across 5+ environments with zero production security breaches. - Built event-driven pipelines on AWS Lambda, SNS, SQS, and Step Functions processing 40K+ daily events at sub-second latency, with CI/CD integrations preventing 95% of pre-production issues. - Established full observability via structured logging, error tracking, and alerting — cutting MTTR by 65% — while leading backend architecture for 3 full-stack applications supporting 5000+ active users.

- Architected and implemented multi-tenancy RBAC system with tenant isolation and permission hierarchies, ensuring secure and scalable access control across 5+ tenant environments serving 2000+ users. - Designed and built 10+ scalable microservices using Go, Node.js, Express.js, PostgreSQL, Redis, and AWS, handling 5K+ API requests daily with 99.7% uptime. - Integrated automated testing, linting, and security scans into CI/CD pipelines, preventing 95% of integration issues pre-production and stabilizing release cycles for 10+ microservices. - Developed event-driven architectures leveraging AWS Lambda, SNS, SQS, Step Functions, S3, and Athena to enable asynchronous workflows, processing 40K+ events daily with sub-second latency. - Implemented comprehensive observability framework through structured logging, error tracking, and Slack-based alerting, reducing mean time to resolution (MTTR) by 65% from 2 hours to 42 minutes. - Built and secured 30+ RESTful APIs with JWT-based authentication and role-based access control for multi-role application ecosystems, achieving zero security breaches in production. - Achieved 60x performance improvement in API response times (from 3.2s to 53ms) through strategic Redis caching implementation, BullMQ background job queues, and batch processing optimization. - Led backend architecture for 3 full-stack applications across productivity, meal planning, and blogging domains using PostgreSQL and MongoDB, supporting 5000+ active users. - Enhanced system scalability and performance monitoring using New Relic and optimized database queries through Sequelize ORM, reducing query execution time by 40% and database load by 30% - Collaborated cross-functionally with frontend and DevOps teams to deliver reliable, secure, and maintainable production-grade systems, completing 20+ feature releases with 98% on-time delivery.