@deykaustav357
Kaustav Dey
@deykaustav357
Kolkata, India
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Medium Posts
Medium Posts
Build a Serverless Image Optimizer with AWS Lambda + S3 (Free Tier Safe)
medium.com
TL;DR: Upload an image to S3 → Lambda compresses it → Optimized version appears. Fully serverless, beginner-friendly, and no surprise AWS bills. 👋 Introduction Image compression is a common but repetitive task — especially for indie developers or small teams deploying images to the cloud. So I decided to build an automated image optimizer using AWS Lambda and S3. This project runs 100% on the AWS Free Tier, and I’ve included teardown scripts to help you avoid any unwanted charges. Whether you’re learni...
How I Provisioned Scalable AWS Infrastructure with Terraform and Load Balancer
medium.com
The Git Repo: https://github.com/KaustavDey357/Terraform-AWS-EC2-Load-Balancer-Deployment As I deepened my understanding of DevOps and cloud fundamentals, I wanted to get hands-on with provisioning infrastructure the right way: using Infrastructure as Code (IaC). In this post, I’ll walk through how I built a reusable Terraform project to provision an EC2 instance, attach a load balancer, configure security groups, and get it all running on AWS. This project was part of my journey in creating modular and ...
How I Deployed an App to AWS Using CI/CD + Terraform
medium.com
As a DevOps and cloud enthusiast, I wanted to go beyond theoretical knowledge and create something real. In this post, I’ll walk through how I deployed a Dockerized application on AWS using Terraform and GitHub Actions. This project helped me apply core DevOps practices and build a production-ready pipeline from scratch. Overview of the Stack Terraform for infrastructure provisioning EC2 for hosting the app Docker to containerize the application GitHub Actions for CI/CD SCP + SSH for deployment automati...
Top Projects
Top Projects
🧩 The Problem it Solves Modern healthcare generates a vast number of medical test reports daily—many of which are misunderstood by patients, misused in falsified documents, or improperly handled in insecure systems. 🚫 The current pain points: Non-technical patients often don’t understand what their test results indicate. Manual verification of reports (e.g., for job screenings or insurance) is time-consuming and prone to human error. Tampering and forgery of digital reports is a serious issue in institutions with limited checks. Lack of data privacy—medical records are stored in centralized systems vulnerable to leaks or misuse. 💡 What MedOracle Offers MedOracle is an AI-powered + blockchain-backed solution that helps users: ✅ Instantly Understand Test Results Upload a lab report (image or PDF) Extracts key medical features automatically (e.g., BP, sugar levels) Uses an ML model to predict health risk level in plain terms 🔐 Securely Store Medical Proofs on Web3 Converts test data into a tamper-proof record Stores a hash on IPFS, with an immutable reference recorded on-chain via a smart contract This makes medical records verifiable, traceable, and privacy-preserving ⚙️ Use Cases: Patients seeking clear explanations of their reports Hospitals needing fast, AI-assisted triaging Employers and insurance agencies verifying authenticity of health records Researchers needing anonymized, decentralized medical data
