With my MS in Computer Science from Santa Clara University, I've transitioned into a challenging role at Arista Networks, where I architect and implement advanced event-driven systems.
Engineered an internal certificate authority service in Go, integrating AWS KMS and HashiCorp Vault for X.509 issuance and automated rotation, reducing manual key management by 90% and supporting 1,000+ services at 99.99% availability.
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Built a high-throughput secrets distribution pipeline using Kafka, Terraform, and Kubernetes, securely delivering rotated credentials to microservices in under 50 ms while enforcing audit logging and compliance policies.
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Developed a Go client library for secret caching, versioning, and audit hooks, enabling transparent credential rotation and cutting secret exposure windows by 75% across distributed systems.
Platform Infrastructure / Developer Experience
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Engineered a scalable Internal Developer Platform (IDP) on AWS utilizing Terraform and CDKTF, enabling efficient provisioning of cloud infrastructure. This initiative led to a 50% decrease in deployment times and improved developer autonomy, aligning with best practices in infrastructure automation.
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Designed and automated a scalable ML pipeline using Kubeflow to process 150 million supply chain records, enabling real-time risk categorization from 1-5 ratings, which resulted in a 40% reduction in model deployment time.
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Implemented distributed transactions using the Two-Phase Commit Protocol, ensuring data consistency across multiple microservices, which resulted in a 25% reduction in transaction failures during high-concurrency operations.
Replaced built-in Query Parser ANTLR with custom Query-Support developed using Go and MongoDB Aggregation Pipeline and MongoDB Query Language, enhanced performance of Search API in Data Access Layer by 30%
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The allowed front end team to search DB using custom-built structs and unifying within an interface in order to leverage MongoDB query operators in JSON format. Wrote unit tests for 30+ use cases, bringing test coverage to 100%. Make changes to system for this query parsing.
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Improved the performance of a legacy backend system by refactoring and optimizing code in Go, resulting in a 60% reduction in response time and a 40% increase in system stability
