Developer Mission Control

Aditya Nair

Cloud & DevOps Student building practical systems across AWS, automation, and IoT.

I like turning cloud concepts into working builds, from scalable AWS setups to connected device dashboards. My focus is hands-on learning: ship the idea, understand the architecture, and improve it until it feels reliable.

View My Work Let's Connect

GitHub LinkedIn adityanairtech@gmail.com

AWS cloud builds linux + bash workflow docker-ready mindset IOT + firebase systems

aditya@portfolio:~/mission-control

$whoami
cloud-devops-studentbuilding in public
$list focus --current
awsscalable web apps, vpc design, cloud labs
iotarduino + esp32 + firebase dashboard
devfull-stack experiments with practical architecture

Featured repos

GitHub-backed portfolio projects

AWS lab builds

Inside the AWS project collection

Focus mode

Ship

Learn by building real systems

About

Developer first, tech enthusiast always.

I'm Aditya Nair, a Cloud & DevOps student who enjoys exploring how systems behave behind the scenes. I'm especially drawn to AWS architecture, deployment patterns, Linux tooling, and projects that make infrastructure feel tangible instead of abstract. Whether it's a scalable web app, a VPC built from scratch, or an IoT dashboard, I like breaking things down, learning the moving parts, and building them back in a cleaner way.

Cloud Labs Hands-on AWS practice around ALB, ASG, EC2, S3 hosting, VPC design, and cloud-native workflows.

Automation Mindset I care about repeatable workflows, good structure, and understanding the operational side of software.

Practical Learning I prefer building real things that expose tradeoffs, architecture decisions, and debugging lessons.

Projects

Live repo feed from GitHub

Live project cards refresh from GitHub and highlight concise summaries with the core services used.

GitHub sync booting... Preparing live repository fetch.

Featured Project

IRON75

A digital companion for the 75-day challenge with daily tracking, workout logging, weekly wrapped insights, and an AI coach. The repo shows a strong product mindset with a Next.js PWA structure and privacy-first thinking.

Next.js PWA Supabase AI Coach Local-first

Featured Project

AWS Build Collection

A growing cloud portfolio that includes a scalable web app with ALB and Auto Scaling, a VPC built from scratch, a Mini Dropbox deployment on AWS, and a set of focused lab exercises for core services.

ALB + ASG VPC Mini Dropbox Cloud Labs

Featured Project

Smart Home IoT Sensor Dashboard

An Arduino + ESP32 + Firebase system for live environmental monitoring. It reads sensor data, pushes it to Firebase, and displays it through a responsive dashboard with authentication and alert-driven thinking.

Arduino ESP32 Firebase Real-time Dashboard

AWS Matrix

Projects done on AWS

Open AWS Repo

AWS Scalable WebApp ALB Production-style multi-AZ setup with Application Load Balancer, Auto Scaling, EC2, and CloudWatch.

ALBAuto ScalingEC2CloudWatch

AWS VPC From Scratch Custom VPC with public and private subnet isolation, NAT Gateway, and bastion-based access.

VPCSubnetsNAT GatewayBastion

Mini Dropbox Cloud file storage platform using AWS S3, RDS, CloudFront, EC2, Nginx, and Python Flask.

S3RDSCloudFrontEC2

Application Load Balancer Dedicated lab for Layer 7 load balancing, health checks, and backend routing flow.

ALBTarget GroupsHealth ChecksRouting

Auto Scaling Group + ELB Self-healing infrastructure lab focused on scaling policy behavior and traffic distribution.

ASGELBScaling PolicyEC2

EC2 Core instance setup practice covering launch flow, SSH, security groups, and lifecycle basics.

EC2SSHSecurity GroupsIAM

S3 Static Website Hosting Static site deployment practice using S3 bucket hosting and public website endpoint configuration.

S3Static HostingBucket PolicyPublic Access

Practice Collection A repo section that turns AWS learning into repeatable hands-on exercises rather than just notes.

AWSHands-on LabsService Practice

Skills

Tools I keep reaching for

The stack here reflects what I'm actively learning and using across cloud, automation, and system-focused projects.

AWS Architecture labs, networking, compute, storage, scaling, and monitoring.

Linux Comfortable navigating the terminal and understanding the host environment.

Docker Interested in repeatable packaging and container-first deployment thinking.

Git Version-controlled workflows for experiments, projects, and iterative learning.

Python Used in backend experiments, automation ideas, and AWS-related project work.

Bash Shell commands, setup steps, and practical scripting for dev and ops tasks.

Contact

Open to learning, building, and collaborating.

If you want to talk about cloud engineering, AWS practice, DevOps learning paths, or a project idea, send a message. This form posts directly to my inbox through a static-form relay.

Aditya Nair

adityanairtech@gmail.com

github.com/ADITYANAIR01

linkedin.com/in/aditya-nair01