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AkZcH/README.md

Akshat Chauhan

Systems Engineer · Rust · Kubernetes · Distributed Systems · Cloud Infrastructure


I build reliable, observable, and scalable systems that run in production. I enjoy working across the full stack — from low-level systems software to cloud-native infrastructure — with a strong focus on how low-level decisions impact real-world reliability, performance, and operations.


Stack

Core / Foundational

  • Operating Systems — Linux (Ubuntu, Fedora), Unix, Windows Server
  • Scripting & Automation — Bash, Python, PowerShell, Go
  • Version Control & CI/CD — Git, GitHub/GitLab, GitHub Actions

Infrastructure & Cloud

  • Cloud Platforms — AWS (primary), Google Cloud
  • Containerization & Orchestration — Docker, Kubernetes
  • Infrastructure as Code — Terraform, Ansible

Monitoring & Observability

  • Prometheus, Grafana, Datadog

Networking & Distributed Systems

  • Protocols: TCP/IP, HTTP/gRPC, WebSockets
  • Tools & Concepts: Load balancing, Raft/Paxos consensus, service meshes (Istio), PostgreSQL, Redis, Kafka

Languages Rust Go Java Python C


Areas of Focus

Distributed Systems & Reliability — Building systems that handle failure gracefully, maintain consistency, and scale horizontally (SmartQueue, consensus explorations).

Cloud-Native Infrastructure — Designing and operating platforms on Kubernetes and AWS with strong observability and automation.

Systems Programming — Low-level Rust and Linux internals (memory management, concurrency, syscall tracing) that power high-performance components.

Production Mindset — I write software assuming I’ll be the one paged when it breaks.


Currently Exploring

  • Advanced Kubernetes patterns (operators, custom controllers)
  • eBPF for observability and runtime security
  • Distributed consensus algorithms and production database internals
  • SRE practices: error budgets, toil reduction, and chaos engineering

Featured Projects

  • RavenMQ — Production-grade distributed task scheduler with LSTM-based runtime prediction, leader election, exactly-once semantics, and Kubernetes-native autoscaling.
  • EchoTrap — Intelligent async TCP honeypot built with Tokio for attack detection and dynamic evasion.
  • SysRift — ptrace-based syscall recorder/replayer for deterministic debugging of non-deterministic behavior.

Contact

LinkedIn
Email: akshatchauhan.dev@gmail.com

"Make it work, make it right, make it fast, in that order; and never skip the last step."

Pinned Loading

  1. SmartQueue SmartQueue Public

    AI-powered distributed task scheduler with LSTM priority prediction, leader election, exactly-once execution semantics, and Kubernetes autoscaling.

    TypeScript

  2. SpanTide SpanTide Public

    A self-contained distributed tracing backend

    Rust

  3. Krypt0n Krypt0n Public

    Rust

  4. SysRift SysRift Public

    a Linux syscall recorder/replayer enabling deterministic program execution using ptrace and memory reinjection

    Rust

  5. EchoTrap EchoTrap Public

    a Rust-based intelligent TCP honeypot that detects port scanning attacks and dynamically migrates its listening port in real time to evade intrusion while logging detailed metrics and events.

    Rust

  6. NetSpectre NetSpectre Public

    Rust