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DevOps Engineer Portfolio

Ashish Singh

DevOps Engineer | Cloud Infrastructure | Platform Automation

I design and automate reliable cloud platforms with so teams can ship faster, scale safely, and operate with confidence.

Production-Style Projects
CI/CD & IaC Focused
Observability Mindset
Cloud Architecture Infrastructure as Code Container Platforms Monitoring & Reliability

About Me

DevOps Engineer focused on automation, resilience, and scalable delivery systems

Ashish Singh
Available for Opportunities

I am an aspiring DevOps Engineer building hands-on experience across cloud infrastructure, container platforms, CI/CD systems, and observability. I enjoy turning manual workflows into repeatable automation, designing secure deployment patterns, and creating platforms that are easier to operate in real production environments.

Designing cloud-native architectures on AWS and GCP
Provisioning environments with Infrastructure as Code using Terraform
Deploying containerized workloads with Docker, ECS, and Kubernetes
Improving delivery speed through CI/CD pipelines, monitoring, and automation

CI/CD

Automated build and deployment workflows

Observability

Metrics, dashboards, logs, and operational visibility

Tech Stack

Technologies I use to build, automate, deploy, and operate systems

Cloud

AWS
GCP
EC2
VPC
S3
IAM
CloudFront
ALB
Cloud Run

DevOps

Docker
Kubernetes
ECS Fargate
Terraform
Jenkins
GitHub Actions
Linux
Nginx

Monitoring & Operations

Prometheus
Grafana
ELK Stack
CloudWatch
Logging
Alerting

Scripting & Collaboration

Python
Bash
C++
Git
GitHub
Automation

What I Bring as a DevOps Engineer

A portfolio aligned to how modern engineering teams build, ship, and operate software

Cloud Infrastructure

Building secure, scalable environments with VPC design, compute, storage, networking, and deployment patterns across AWS and GCP.

Infrastructure as Code

Using Terraform to create repeatable environments, standardize infrastructure, and reduce configuration drift between stages.

CI/CD Automation

Automating build, test, and deployment workflows so releases become faster, safer, and easier to maintain.

Observability

Adding dashboards, metrics, logs, and health visibility that help teams detect issues quickly and operate services confidently.

Featured Projects

DevOps projects centered on infrastructure, automation, deployment, and reliability

AWS

GenomeGuard β€” AI-Powered Genetic Disease Prediction Platform

Architected and deployed an enterprise-grade, cloud-native AI platform for genomic disease risk prediction. Designed end-to-end AWS architecture with CloudFront, S3, ALB, ECS Fargate, and DocumentDB (Multi-AZ). Implemented asynchronous processing using SQS and worker containers for scalable genomic analysis.

Multi-AZ deployment
Auto-scaling architecture
Infrastructure as Code
AWS ECS Fargate Terraform DocumentDB SQS CloudFront
GCP

Scalable Document Processing Platform on GCP

Built the deployment architecture for a compute-heavy document pipeline on GCP using Cloud Run, Cloud SQL, private networking, and managed services. The design emphasized autoscaling, secure service communication, and operational simplicity for backend workloads.

Serverless architecture
Private VPC networking
AI-powered extraction
GCP Cloud Run Cloud SQL Document AI PostgreSQL
Terraform

AWS Multi-Tier Infrastructure with Terraform

Provisioned a reusable AWS environment with VPC networking, public and private subnets, NAT Gateway, bastion access, and load balancing. This project showcases foundational DevOps capabilities around infrastructure design, security boundaries, and repeatable provisioning.

Network segmentation
Security best practices
Automated provisioning
AWS Terraform Linux Networking
Observability

Monitoring and Reliability Stack

Implemented an observability stack using Prometheus, Grafana, and centralized logging practices to improve service visibility. The setup focused on actionable dashboards, alert readiness, and the foundations of SRE-style operations.

Metrics collection
Dashboarding and visualization
Operational troubleshooting
Prometheus Grafana ELK Alerting

Certifications & Focus Areas

Signals of the tools, practices, and engineering areas I am actively building around

AWS Cloud & Architecture

Hands-on work with core AWS services for networking, compute, storage, and application delivery.

Containers & Orchestration

Practical exposure to Docker, ECS, and Kubernetes for packaging and operating distributed applications.

CI/CD & Automation

Experience automating delivery pipelines with GitHub Actions, Jenkins, scripting, and repeatable workflows.

DevOps Journey

How my learning has evolved toward platform engineering and production operations

2024

Started exploring Linux, cloud fundamentals, Git, and the DevOps lifecycle

2025

Built AWS infrastructure projects with Terraform and learned practical networking patterns

2026

Expanded into containers, CI/CD pipelines, observability, and production-style architecture

2027

Targeting DevOps, Cloud, or Platform Engineer roles with strong automation ownership

Let's Build Reliable Systems

Open to DevOps internships, cloud engineering roles, freelance builds, and technical collaborations