Anish Adhikari
Software Engineer at Google
Austin, Texas Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolAnish Adhikari is a Senior Software Engineer and Technical Lead based in Austin with 10 years of experience building resilient, large-scale infrastructure and cloud services. He currently leads engineering efforts in Google Enterprise Networking after contributing to Google Cloud Services, bringing production experience from Uber where he worked on the Cadence orchestration engine. His contributions to Cadence include core workflow enhancements, consistency configuration work for Cassandra, and new APIs for deployment and tasklist visibility—demonstrating deep expertise in distributed systems and orchestration. Known for tackling durability and availability challenges, he combines hands-on backend development with technical leadership across enterprise and cloud environments. Anish’s trajectory from internships at Tableau and Bank of America to senior roles at Google reflects a steady focus on infrastructure reliability and operational scalability. He often blends pragmatic engineering with open-source collaboration to improve observability and fault-tolerance in complex systems.
10 years of coding experience
2 years of employment as a software developer
Howard University
Github Skills (19)
back-end-development10
apidoc10
cadence10
distributed-systems10
workflow-engine10
go10
api10
microarchitecture10
golang10
orchestration10
microservices10
thrift10
cassandra9
cli8
database8
Programming languages (3)
Github contributions (5)
cadence-workflow/cadence
Nov 2019 - Jul 2021
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:40 reviews, 81 commits, 98 PRs in 1 year 7 months
Contributions summary:Anish primarily contributed to the core functionality and internal structure of the Cadence workflow engine. Their work included implementing features like enabling auto-forwarding for global domains and modifying configurations related to Cassandra consistency. They also made changes to record binary checksums within the decision task failed event, impacting workflow event attributes. Furthermore, the user added APIs for accessing Cadence deployment information and tasklist partition details.
cadenceresilientorchestration-engineservice-buslogic
anish531213/cadence
Nov 2019 - May 2021
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
Contributions:249 pushes, 52 branches, 1 tag in 1 year 6 months
scalableasynchronouscadenceorchestrationresilient
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