Daksh Upadhyay

New York CityEmailgithub.com/Daksh14LinkedIn

Experience

Tokio

Open Source Maintainer

  • Bring true asynchronous file IO with io_uring by adding file reading io_uring operations on to Tokio.
  • Strengthen correctness in io_uring completion handling and recovery around EINTR during read/write operations.
  • Authored the SetOnce sync primitive dealing with waking, synchronization, atomics, and memory-ordering concerns.
  • Actively review PRs and approve for merging.

Profound

Staff Software Engineer –

  • Led development of an Agentic CMS for Profound.
  • Led 2 backend engineers and 2 frontend engineers; CI/CD workflow with AWS CodePipeline/CodeBuild.
  • Provisioned EC2/EIP AWS infrastructure with Terraform. EKS clusters for scaling services horizontally.
  • LLM inference via TensorZero gateway for prompting OpenAI/Gemini/Anthropic models.
  • Rust MCP server on AWS EC2 for Claude Code/Cursor workflows with our Agentic CMS.
  • Ensured Sentry based observability and telemetry/reliability alerts for our services.
  • Established code review culture, emphasis on documentation and best practices.

Dusk Network

Software Engineer –

  • Reduced wallet sync and cold-start time by ~30% by replacing cache paths with RocksDB and zero-copy rkyv serialization.
  • Criterion benchmarks and flamegraphs to identify hot paths and guide performance optimization.
  • Architected a Rust-WASM FFI layer with manual memory management and custom serialization across the WASM/JS boundary.
  • WebAssembly runtime in browser Web Workers for parallel execution and secure sandboxed sensitive operations.
  • Delivered against a fixed product milestone, releasing Dusk’s wallet entirely in the browser.

KeepWorks

Backend Software Engineer –

  • Built a Rust procedural macro that automated server-side sanitization across ~200 data structures.
  • Integrated tonic gRPC and async-graphql services with YugabyteDB/PostgreSQL, DB migrations, and shared Rust infrastructure.
  • Built GitHub Actions CI/CD and automated deployment to AWS EC2.
  • Improved integration across our internal GraphQL and gRPC microservices.

Technical Skills

Languages: Rust, C/C++, Python, JavaScript/TypeScript, SQL

Rust / Async: Tokio, async/await, Futures, mio, io_uring, epoll, no_std, FFI, WebAssembly/WASM

Systems: TCP/IP, sockets, syscalls, concurrency, multithreading, atomics, memory ordering, zero-copy I/O

Linux: Linux internals, kernel/userspace boundary, eBPF/XDP concepts, memory management, cache behavior

Performance: perf, flamegraphs, Criterion, tracing/profiling, latency and throughput optimization

Backend: Axum, tonic/gRPC, async-graphql/GraphQL, REST APIs, distributed systems

Data: PostgreSQL, YugabyteDB, RocksDB, rkyv

Cloud / Infra: AWS, EC2, EKS, S3, Terraform, Docker, Kubernetes, GitHub Actions, CI/CD, GCP Cloud Run, observability

Education

Pennsylvania State University

B.S. Computer Science