Freelancers using Docker in Ahmedabad

Freelancers using Docker in AhmedabadFreelancers using Docker in Ahmedabad

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Ahmedabad, India

AWS DevOps Engineer | Terraform, CI/CD & Automation

AWS DevOps Engineer | Terraform, CI/CD & Automation

Cover image for AI Content Automation on AWS

AI Content Automation on AWS | GitHub + Slack + Bedrock Description:- I built a production-grade AI content automation system that transforms GitHub commits and Slack conversations into authentic LinkedIn posts. The solution uses AWS, Terraform, ECS Fargate, and EventBridge to automate content generation, approval, and scheduling. - Automated content generation from GitHub and Slack activity - Human-in-the-loop Slack approval workflow - Security filtering to reduce sensitive data exposure - Scheduled content publishing with EventBridge - Production-ready AWS infrastructure managed with Terraform The result is a reliable, scalable automation pipeline that eliminates repetitive content creation while maintaining human control over what gets published. My Role: AWS DevOps Engineer Technologies: AWS ECS · Fargate · Terraform · Docker · CI/CD · EventBridge · GitHub · Slack · AWS Bedrock

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Cover image for I built an AI-powered AWS

I built an AI-powered AWS log investigation system that allows teams to query logs stored in their existing S3 buckets using natural language. The solution uses AWS Lambda, API Gateway, S3, Bedrock, and Terraform to: - Convert natural-language questions into structured log searches - Automatically discover and filter JSON, CSV, JSONL, and compressed log files - Search across multiple S3 buckets without migrating log data - Use Bedrock to summarize results and provide actionable insights - Keep the log-search function private with IAM-based access control The serverless architecture delivers typical queries in 2–4 seconds at approximately $0.001 per query, while keeping log data within the AWS environment. Technologies:- AWS Lambda · API Gateway · S3 · AWS Bedrock · Terraform · IAM · Python

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Cover image for Automated Windows AMI Patching &

Automated Windows AMI Patching & AWS Infrastructure Automation I built an automated AWS pipeline to eliminate the manual process of patching Windows servers and updating the AMI used by an Auto Scaling Group. The solution uses AWS Image Builder, SSM Patch Manager, CloudWatch, EventBridge, Lambda, and CloudFormation to automate the complete patching lifecycle. Automated Windows patch scanning and installation Automated Sysprep and patched AMI creation CloudWatch logging for patching and audit visibility Automatic Launch Template and ASG updates Preserved existing production configuration The infrastructure is deployed through a single CloudFormation template, creating a repeatable and auditable workflow with minimal manual intervention. My Role: AWS DevOps / Cloud Automation Engineer Technologies: AWS Image Builder, SSM Patch Manager, EC2, Auto Scaling, Lambda, EventBridge, CloudWatch, CloudFormation, IAM, Windows Server, PowerShell

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Cover image for Designed and implemented an AI-powered

Designed and implemented an AI-powered AWS SRE automation platform to reduce manual infrastructure monitoring and security reporting. The solution included two independent workflows: • AI-powered EC2 monitoring that detects CPU usage patterns, analyzes them with AWS Bedrock, and generates scaling recommendations with an approval-based remediation workflow. • Automated vulnerability reporting using AWS Inspector, Lambda, S3, Glue, Athena, Bedrock, and QuickSight to generate monthly security insights and executive dashboards. Built the infrastructure using Terraform with an event-driven, serverless AWS architecture. The solution improved infrastructure visibility, reduced manual operational effort, accelerated incident detection, and automated security reporting.

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Ahmedabad, India

Fullstack developer building modern and responsive websites.

Fullstack developer building modern and responsive websites.

Cover image for Home - Melo Technology: Affordable & Reliable IT Solutions for …

Home - Melo Technology: Affordable & Reliable IT Solutions for …

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Cover image for Authorised Apple Service Provider - Home - Hub by Triforce

Authorised Apple Service Provider - Home - Hub by Triforce

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Cover image for FlexPro Meals - Great Tasting Healthy Meals to Your Doorstep!

FlexPro Meals - Great Tasting Healthy Meals to Your Doorstep!

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Ahmedabad, India

Software Engineer building AI automation & security platform

New to Contra

Software Engineer building AI automation & security platform

Cover image for Click2Fix SOC Operations

Click2Fix SOC Operations

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Cover image for Click2Fix – Cybersecurity Operations &

Click2Fix – Cybersecurity Operations & Response Platform

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Cover image for Privora

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Cover image for Development of Ravynel NDR Product

Development of Ravynel NDR Product

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Ahmedabad, India

Data Engineer · Python · Airflow · dbt · Kafka · AWS

New to Contra

Data Engineer · Python · Airflow · dbt · Kafka · AWS

Cover image for Project 2 — Real-Time Sales

Project 2 — Real-Time Sales Pipeline Title: Real-Time Streaming Pipeline — Kafka · PySpark · Grafana Description: Real-time event pipeline processing $368,919 in transaction volume at 110 orders/minute peak. Python producer → Kafka → PySpark Structured Streaming → TimescaleDB → Grafana dashboard with 30s auto-refresh. Full stack on Docker Compose. Link: https://github.com/Krupa03/realtime-sales-pipeline

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Cover image for Project 1 — E-Commerce ELT

Project 1 — E-Commerce ELT Pipeline Title: E-Commerce ELT Pipeline — Airflow · dbt · BigQuery Description: End-to-end ELT pipeline on 99.4K Brazilian e-commerce orders. Airflow orchestrates daily ingestion into BigQuery → dbt transforms across staging to mart layers. Surfaced R$16.4M customer LTV and R$1.25M peak monthly revenue for Looker Studio dashboards. 16 consecutive successful DAG runs under 6 minutes. Link: https://github.com/Krupa03/ecommerce-elt-pipeline

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Cover image for Project 4 — RAG Document

Project 4 — RAG Document Chatbot Title: RAG Document Chatbot — LangChain · ChromaDB · Streamlit Description: Fully local RAG application: PDF ingestion → 500-token semantic chunking → 73-chunk ChromaDB vector store → LangChain retrieval chain with source citations and multi-turn memory. Streamlit UI, no external API dependency. Link: https://github.com/Krupa03/rag-document-chatbot

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Cover image for Project 3 — Data Quality

Project 3 — Data Quality Checker Title: Data Quality Checker — AWS S3 · Terraform · GitHub Actions Description: A CLI tool automating data quality checks (nulls, duplicates, referential integrity, freshness, and schema drift) on a Kimball star-schema warehouse. AWS S3 provisioned as IaC with Terraform. Full CI/CD via GitHub Actions on every push. Link: https://github.com/Krupa03/data-quality-checker

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Ahmedabad, India

Full stack dev & Project Mgmt,E-commerce expert

Full stack dev & Project Mgmt,E-commerce expert

Cover image for Evergreengood

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Cover image for Rapid Dreamers

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Cover image for TicTac Learn

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Cover image for CD Keys
On-Demand Gaming Digital Codes

CD Keys On-Demand Gaming Digital Codes

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