Hi, my name is
Developer-turned-SRE with 5+ years of experience building and operating production-grade distributed systems across AWS, Docker, Kubernetes, and Linux infrastructure. Currently ensuring platform reliability at Solidigm (SK Hynix), combining strong backend engineering skills with deep operational expertise in observability, CI/CD automation, and incident management.
I started my career as a software engineer at a high-growth startup, building backend services and RESTful APIs with Node.js and PostgreSQL. That hands-on experience shipping features under tight deadlines shaped my ownership mentality and natural gravitation toward reliability engineering.
Today, I combine strong backend engineering skills in Node.js, Java, and Python with deep operational expertise to ensure systems stay up, perform well, and scale gracefully. I specialize in CI/CD automation, incident management, capacity planning, and production readiness for event-driven microservices.
I hold a Master of Science (Summa Cum Laude) from the Virginia Institute of Science and Technology and a B.Tech in Computer Science from JNTUH, Hyderabad.
Managing multi-tenant enterprise platforms on AWS with Docker, Kubernetes, and Terraform across production environments.
Building monitoring strategies with Splunk, Dynatrace, Prometheus, and Grafana covering 50+ API endpoints with SLI/SLO tracking.
AWS Certified DevOps Engineer — Professional with deep expertise across EC2, ECS, Lambda, RDS, S3, SQS, SNS, and CloudWatch.
June 2024 - Present · San Jose, California
Solidigm
Architected a comprehensive monitoring strategy with 20+ dashboards covering infrastructure health, API latency (p50/p95/p99), error budgets, and resource utilization. Integrated Splunk, Dynatrace, CloudWatch, Prometheus, and Grafana for full-stack visibility across a multi-tenant platform.
Solidigm
Designed deployment pipelines using GitHub Actions with parallel jobs, health checks, atomic release switching, and automated rollback. Reduced failed deployments by 70% and cut deployment time from 25 minutes to 8 minutes with blue-green and canary strategies.
ValueLabs
Engineered a Kafka-based order processing pipeline handling 50K+ daily orders with 8 topic partitions and 3 consumer groups. Implemented dead-letter queues, exactly-once delivery semantics, and a Redis caching layer that cut p99 latency from 450ms to 85ms.
ValueLabs
Built a high-throughput notification microservice processing 100K+ daily events via AWS SQS FIFO queues with exponential backoff retry logic. Implemented fan-out dispatch using SNS with topic filtering across email (SES), SMS, and push channels.
Solidigm
Engineered repeatable provisioning of EC2, RDS, S3, Lambda, EventBridge, and IAM resources using Terraform and AWS CDK. Maintained environment parity across dev/staging/prod with least-privilege IAM access controls and automated compliance checks.
Solidigm
Automated 15+ hours/week of operational toil using AWS Lambda and EventBridge for nightly maintenance: usage quota recalculation, stale session cleanup, metrics aggregation, and certificate rotation across production environments.