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ARYANDRAGUPTA

Building scalable cloud systems
Automating everything worth repeating
Engineering intelligent workflows
Prayagraj, India· available
HEADmainfeature/aifeature/devops
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§01 · README

 

I'm Aryandra, based in Prayagraj. I finished my Diploma in Cloud Computing and I'm now pursuing a BCA while building projects that force me to touch real infrastructure — the ones that break, log strange errors, and only work after reading the docs twice.

My approach is simple: build the thing, deploy it, watch it fall over, fix it, document what I learned, commit. Tutorials get me started; version control, debugging and small automations are what actually make the knowledge stick. Every project is a chance to make the next one a little more boring — in the good way.

The direction I'm heading in is Cloud Infrastructure, DevOps and Agentic AI — the platforms that let software (and eventually agents) run reliably in production. I'd rather ship five honest projects than talk about ten I never finished.

trajectory.mapin progress
01
Clouddone
diploma · aws fundamentals
02
Infrastructuredone
linux · networking · ec2
03
Automationnow
docker · terraform · bash
04
DevOpsnext
ci/cd · observability
05
Agentic AInext
orchestration · runtimes
§02 · Experience

 

Cloud Engineer Trainee Intern

CloudFox CyberTech Educom

Prayagraj, India
Mar 2026 — Jul 2026
COMPLETED
$ cat internship/summary.md
  • Configured and deployed AWS cloud resources including EC2, IAM, and VPC through hands-on infrastructure assignments.
  • Applied Linux administration and networking concepts for cloud configuration, monitoring, and troubleshooting.
  • Completed practical cloud security, infrastructure, and project-based assignments, strengthening AWS and cloud administration skills.
§03 · Engineering Logbook

 

  • 2023 — Present
    Bachelor of Computer Applications
    Arunachal University of Studies
    IN PROGRESS
    Computer Science
    Programming
    Operating Systems
    DBMS
    Networking
    Software Engineering
  • 2025 — 2026
    Diploma in Cloud Computing with AI
    Jetking Institute · Prayagraj
    COMPLETED
    Cloud Computing
    AWS
    EC2
    S3
    IAM
    CloudFront
    Route53
    Linux
    Ubuntu
    RHEL
    Bash
    Networking
    TCP/IP
    DNS
    Subnetting
  • 2026 — Present
    Self Learning
    DevOps · Cloud Engineering · Agentic AI
    ONGOING
    DevOps
    Docker
    Kubernetes
    Terraform
    Jenkins
    GitLab CI/CD
    Ansible
    Agentic AI
    Python
    MCP
    LangGraph
    OpenAI API
    AI Workflows
  • 2026
    Hands-on AWS Projects
    Production deployments
    SHIPPED
    Production Deployments
    Static Website
    S3
    CloudFront
    IAM
    Docker Deployment
    EC2
    Docker
    Nginx
    DNS Configuration
    Route53
§04 · Deployments

 

// deployment summary
Successful Deployments:3
Planned Deployments:2
Cloud Provider:AWS
Primary Stack:Linux • Docker • CloudFront
📍Region:ap-south-1
Repository Health:Healthy
DEP-2026-001
commit a7c91f2
AWS Static Website
regionap-south-1
runtimeStatic Website
SUCCESS
S3CloudFrontIAM
DEP-2026-002
commit c91ab34
Dockerized Nginx on EC2
hostEC2 Ubuntu
runtimeDocker
serverNginx
SUCCESS
EC2DockerNginx
DEP-2026-003
commit f28d7bc
Route53 DNS Routing
dnsAmazon Route53
routingPublic
sslConfigured
SUCCESS
Route53ACM
DEP-2026-004
commit b34e07a
Terraform · AWS Baseline
statusPlanning
iacTerraform
targetAWS Infrastructure
COMING SOON
TerraformAWSIaC
Waiting for implementation...
DEP-2026-005
commit d5f11ab
Agentic AI · MCP Server
languagePython
protocolMCP
frameworkLangGraph
COMING SOON
PythonMCPLangGraph
Waiting for implementation...
deploy.sh
$ deployment status
DEP-2026-001 SUCCESS
DEP-2026-002 SUCCESS
DEP-2026-003 SUCCESS
DEP-2026-004 PLANNED
DEP-2026-005 PLANNED
Pipeline Status: Healthy
Latest Deployment: DEP-2026-003
§05 · Engineering Lab

 

The path an engineer walks — foundation, cloud, DevOps, observability and finally agentic AI. Every technology below is placed where it actually sits in that journey.

Engineering Roadmap
LinuxPythonCloudDockerTerraformCI/CDKubernetesMonitoringAgentic AI
Phase 01Foundation
Operating systems, source control and the language everything else runs on.
LinuxProduction Practice
Filesystems, processes, systemd, networking.
Git & GitHubProduction Practice
Branching, PR workflow, CI triggers.
PythonBuilding
Automation scripting and AI tooling.
Phase 02Cloud Engineering
Infrastructure and automation on real cloud environments.
AWSProduction Practice
EC2, S3, IAM, CloudFront, Route53, VPC.
DockerProduction Practice
Images, compose, multi-stage builds.
TerraformHands-on
IaC modules for AWS baseline.
AnsibleExploring
Configuration management and playbooks.
Phase 03DevOps
Pipelines, orchestration and deployment automation.
GitLab CI/CDLearning
Pipeline-as-code and runners.
JenkinsLearning
Declarative pipelines.
KubernetesLearning
Pods, deployments, services.
Phase 04Observability
Metrics, dashboards and system visibility.
PrometheusExploring
Metrics, exporters, PromQL.
GrafanaExploring
Dashboards for infra health.
Phase 05Agentic AI
Long-term specialization: autonomous engineering agents.
OpenAI APIHands-on
Chat, tools, embeddings, function calling.
Model Context ProtocolLearning
Standard LLM ↔ tools interface.
LangGraphExploring
Graph-based agent orchestration.
CrewAIExploring
Role-based collaborative agents.
Agentic AI SystemsLearning
End-to-end autonomous workflows.
§06 · Engineering Ecosystem

 

These aren't isolated technologies. They work together to build reliable cloud infrastructure, DevOps workflows and AI systems.

Cloud
├── AWS
│ ├── EC2
│ ├── IAM
│ ├── S3
│ ├── CloudFront
│ └── Route53
├── Linux
│ ├── Ubuntu
│ ├── RHEL
│ └── Bash
└── Docker
└── Kubernetes
├── Jenkins
├── GitLab CI/CD
├── Terraform
└── Monitoring
├── Prometheus
└── Grafana
└── Python
└── OpenAI API
└── Model Context Protocol
└── LangGraph
└── CrewAI
└── Agentic AI Systems
$ ecosystem-status
Cloud● ONLINE
DevOps● BUILDING
AI● EXPERIMENTING
--
current-focus:
  - Terraform
  - Kubernetes
  - LangGraph
live-pulse: idle
hover any node to inspect
// tooltip · role · usage · stage
§07 · Trajectory

 

  1. phase.01current

    Cloud Engineer

    AWS · Linux · Networking

  2. phase.02next

    DevOps Engineer

    Docker · K8s · CI/CD · IaC

  3. phase.03future

    Platform Engineer

    Internal platforms · Developer experience

  4. phase.04future

    Agentic AI Engineer

    LLM orchestration · MCP · Tooling

  5. phase.05north-star

    AI Infrastructure Architect

    Runtimes · Scaling · Reliability

§08 · Connect

 

$ echo "thanks for scrolling · built with care in prayagraj"