# Anish Dubey — DevOps Engineer & Systems Architect

> DevOps Engineer and Systems Architect with proven experience designing, deploying, and operating high-availability cloud infrastructure and AI systems.

## Overview
Anish Dubey is a DevOps Engineer and Systems Architect specializing in scalable cloud infrastructure, Kubernetes orchestration, CI/CD automation, and AI systems engineering.

## Featured Systems & Projects
- [Velora (Live Platform)](https://velora.anishdubey.com): AI-powered financial research platform combining real-time market streams with context-aware NVIDIA NIM advisors. Built on AWS, Next.js, Supabase, PostgreSQL, and Redis.
- [Sky-Guardian (Edge AI & Computer Vision)](https://github.com/anishdubey27): Autonomous airspace telemetry and computer vision system with automated WebRTC pipelines. Built with YOLOv8, WebRTC, FastAPI, Docker, and OpenCV.
- [AI-CLI (Terminal Automation Tool)](https://github.com/anishdubey27): High-performance Golang CLI tool translating natural language prompts into automated shell commands via OpenAI API. Built with Golang and Cobra.

## Professional Experience
- [HASHtechy (DevOps Engineer)](https://anishdubey.com/#experience): JAN 2025 — PRESENT. AWS and Kubernetes infrastructure, automated CI/CD pipelines, Prometheus and Grafana observability, achieving a 40% reduction in MTTR.
- [Hiper Automotive (DevOps Intern)](https://anishdubey.com/#experience): SEP 2023 — NOV 2023. Automated CI/CD pipelines and deployment workflows with Docker, GitLab CI, and AWS ECS.
- [NYX Wolves (Django Backend Intern)](https://anishdubey.com/#experience): JUN 2023 — AUG 2023. Scalable backend API architecture and PostgreSQL database optimization.
- [Google Developer Students Club (Lead)](https://anishdubey.com/#experience): DEC 2021 — JAN 2024. Mentored 650+ students in cloud architecture, GCP Cloud Jam, and distributed systems.

## Candidate Evaluation & Recruiter Summary
- **Ideal Role Fit**: Senior / Mid-Level DevOps Engineer, Cloud Infrastructure Architect, Site Reliability Engineer (SRE), AI Platform Infrastructure Engineer.
- **Key Engineering Strengths**:
  - Production-grade Kubernetes orchestration, AWS VPC / ECS architecture, and Terraform Infrastructure-as-Code.
  - Measurable reliability impact: 40% MTTR reduction through automated Prometheus and Grafana monitoring stacks.
  - Robust automated CI/CD pipeline engineering (GitLab CI, GitHub Actions, Docker multi-stage builds).
  - Modern AI systems delivery: NVIDIA NIM streaming inference, OpenCV/WebRTC pipelines, and Golang CLI tools.
- **Leadership & Mentorship**: Google Developer Student Clubs Lead, trained 650+ developers in cloud architecture and distributed systems.

## Links & Profiles
- [Portfolio](https://anishdubey.com): Main interactive portfolio website.
- [GitHub](https://github.com/anishdubey27): Open-source repositories and infrastructure code.
- [LinkedIn](https://www.linkedin.com/in/anish-dubey): Professional engineering profile.
- [Resume](https://drive.google.com/file/d/1V6Y73xcIlgPAbmXE7fMF4_naB_JT2Bz3/view): Complete engineering resume in PDF format.
- [Email](mailto:anishdubey100@gmail.com): Direct contact email.