Nidhi Dhamnani

Nidhi Dhamnani

Software Engineer

Cloudflare

About

I’m a Software Engineer specializing in distributed systems and storage infrastructure. I currently work on R2 Storage at Cloudflare, and previously built distributed systems at Amazon and Momento (then a Series A startup). I started my career as a Software Engineer at Goldman Sachs.

I enjoy digging deep into things I find interesting. Lately that means storage and database internals. Human psychology is another space I keep coming back to; I think understanding how people think makes you a better engineer.

Outside of work, I enjoy yoga, cooking, building miniatures, and exploring the Pacific Northwest :)

Experience

 
 
 
 
 
Software Engineer
Cloudflare
May 2026 – Present Remote
  • Working on the R2 Metadata Service, the distributed consistency layer at the core of R2’s read/write path, responsible for atomically committing object metadata and ensuring strong consistency across R2’s global object storage infrastructure.
 
 
 
 
 
Software Engineer
Amazon
May 2025 – Apr 2026 Seattle, WA
  • Built and maintained high-availability distributed systems aggregating real-time data across hundreds of internal services under strict latency and reliability requirements.
  • Designed and implemented the core integration for migrating feature configurations from a legacy keystore to Amazon Config Store, and led the zero-downtime multi-region rollout strategy.
 
 
 
 
 
Software Engineer
Momento
Feb 2023 – Apr 2025 Remote
  • Developed core features for the distributed cache orchestrator, a critical component managing dynamic cache partitioning and elastic scaling.
  • Implemented a multi-tenant cache sharing feature with comprehensive AuthN/AuthZ guardrails and resource management, achieving 100% customer adoption.
  • Led a zero-downtime control-plane migration from Kotlin to Rust, significantly reducing architectural complexity and maintenance overhead.
  • Designed and shipped a custom in-house RBAC system spanning caches, topics, and stores to enforce fine-grained permissions and strict multi-tenant isolation.
 
 
 
 
 
Software Engineer
Goldman Sachs
Jun 2019 – Jul 2021 Bengaluru, India
  • Designed and delivered internal enterprise tools used firmwide by 40,000+ employees, including an organizational hierarchy system and a COVID-19 Return-To-Office platform with automated badge activation and occupancy analytics.
  • Mentored four summer interns (2020–2021), providing system design guidance and coding standards that led to successfully shipped features.

Accomplish­ments

Recipient of Dan Kohn Scholarship
KubeCon + CloudNativeCon North America 2022 Oct 2022
Secured 1st place in India Engineering Conference (IEC)
Goldman Sachs Mar 2021
Recognized for high-impact engineering work across analysts and associates firmwide

Projects

Concurrent Minimum Spanning Tree
Developed a highly concurrent variation of Borůvka’s algorithm to process large-scale graphs (100,000+ nodes) in parallel. By utilizing atomic variables and thread-safe concurrent priority queues, the implementation minimized thread contention and prevented deadlocks without heavy locking mechanisms, achieving a 59.7% execution speedup over sequential baselines on an 8-core architecture.
Gossip Algorithm
Implemented push and pull gossip protocols in C++ with configurable fanout and packet loss simulation to model real-world distributed conditions. Built a benchmarking harness to systematically compare convergence behavior and message overhead across both protocol variants at scale.
Code
LLVM Code Obfuscation
Implemented three LLVM transformation passes for code obfuscation directly on LLVM IR - arithmetic expression obfuscation with iterative depth control, indirect memory access transformation, and constant encoding. Built as pluggable, language-agnostic C++ passes operating at the compiler IR level.
Code Slides

Paintings

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Contact