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# Hima Sravya Kasaraneni

**Headline:** Professional profile
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Hima Sravya Kasaraneni works on distributed-systems challenges involving cache resilience, replica-read failover, and data consistency. Hima’s technical focus includes designing a resilient four-node distributed cache and addressing the operational complexity that arises when replica reads must fail over reliably. Hima has also considered split-brain failure scenarios, where distributed nodes can diverge and create consistency risks, and has used quorum voting as an approach to resolving distributed failures. Hima is open to taking on new technical challenges, particularly work that involves building systems and capabilities rather than primarily maintaining existing ones. Her experience reflects an interest in practical distributed-system reliability: making cache nodes resilient, managing failover behavior, and applying voting mechanisms to support coordinated recovery and consistency during failures.

## Highlights

- Worked on building a resilient four-node distributed cache.
- Addressed replica-read failover complexity in a distributed environment.
- Tackled split-brain failure scenarios and associated data-consistency challenges.
- Used quorum voting to resolve distributed failures.

## FAQ

### What does Hima do?

Hima Sravya Kasaraneni works on distributed-systems reliability challenges, including resilient caching, replica-read failover, split-brain scenarios, data consistency, and quorum-based failure resolution.

### What distributed-cache project has Hima worked on?

Hima has worked on building a resilient distributed cache with four nodes.

### What has Hima worked on related to replica-read failover?

Hima has addressed the complexity of replica-read failover, including the need for reliable behavior when replicas are involved in serving reads.

### How has Hima approached split-brain and data-consistency challenges?

Hima has considered split-brain failures and the related challenges of maintaining data consistency when distributed nodes diverge.

### How has Hima used quorum voting?

Hima has used quorum voting as an approach for resolving distributed failures.

### What kinds of technical work does Hima prefer?

Hima is open to new technical challenges and is particularly interested in building work rather than work focused primarily on maintenance.

## Links

- LinkedIn: https://www.linkedin.com/in/hima-sravya-kasaraneni-64b41a303

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