Akshay Kakatkar

Crafting Scalable Solutions for the Cloud

DevOps engineer skilled in cloud infrastructure and automation. Expertise includes Docker, Kubernetes, Terraform, and CI/CD.

About Me

Akshay Kakatkar

DevOps & Cloud Professional

I'm Akshay Kakatkar, a DevOps engineer with expertise in cloud infrastructure and automation. With a background in software development, I specialize in building and maintaining robust, scalable cloud solutions using technologies like Docker, Kubernetes, and Terraform.

I'm passionate about creating efficient, automated workflows that enable teams to deliver software faster and more reliably.

Currently, I'm working as a Software Developer at MathonGo, where I contribute to both backend and frontend development.

Skills & Technologies

Languages

JavaScriptTypeScriptPythonC++

Frontend

ReactJSNextJSTailwind CSSMaterial UINextUIShadcn UIBootstrap

Backend

NextJSFastAPINestJSExpressJStRPCDrizzle ORMPrisma ORMMongoose

Version Control

GitGitHubGitLabBitBucket

GitOps

GitHub ActionsJenkinsTravis CIArgoCDFluxCD

Web Servers

TraefikNginxApacheCaddy

Databases

SQLitePostgreSQLMySQLMariaDBMongoDBRedis

Platforms & Tools

VS CodeLinuxLinux Server ToolsDockerKubernetesTerraform

Cloud Platforms

AWSAzureOracle CloudGCP

Work Experience

My professional journey and accomplishments.

Software Developer

MathonGo

Remote | June 2024 - Present

  • Developed and maintained backend and frontend for a Learning Management Platform using NodeJS, ExpressJS, MongoDB, and Redis, providing robust and scalable solutions for managing user data and course content. The platform supports 15,000 active users and handles 1 million daily requests.
  • Utilized Redis caching and integrated OAuth for secure authentication, enhancing performance, data retrieval efficiency, and user data privacy.
  • Designed and implemented RESTful APIs to ensure efficient communication between frontend and backend components, delivering a consistent and engaging user experience.
  • Worked on the backend for a JEE/NEET Preparation App with 1.6 million active users and 50 million daily requests, achieving a 50% improvement in response time.
  • Optimized the backend for the Quizrr Platform, an online test series platform serving 100,000 active users and handling 10 million daily requests, boosting response performance by 150%.
  • Leveraged AWS Lambda Functions to offload complex calculations from ExpressJS, reducing CPU usage and enhancing scalability.
  • Collaborated with cross-functional teams to resolve issues, maintain backend reliability, and ensure high availability and performance across all platforms.
NodeJSExpressJSMongoDBRedisRESTful APIsAWS Lambda

Featured Projects

Exploring my technical projects and their implementations.

MathonGo LMS

A comprehensive Learning Management Platform supporting 15,000 active users and handling 1 million daily requests. Built with NodeJS, ExpressJS, MongoDB, and Redis for robust and scalable solutions.

Key Features

  • Scalable backend architecture handling 1M+ daily requests
  • Redis caching for enhanced performance
  • Secure OAuth authentication
  • RESTful API design for efficient communication
  • AWS Lambda integration for complex calculations
  • High availability and performance optimization
NodeJSExpressJSMongoDBRedisRESTful APIsOAuth

Quizrr Platform

An online test series platform serving 100,000 active users and handling 10 million daily requests. Achieved 150% improvement in response performance through optimization.

Key Features

  • High-performance backend optimized for 10M+ daily requests
  • 150% improvement in response time
  • Scalable architecture for 100K+ active users
  • Efficient data retrieval and caching
  • AWS Lambda integration for complex operations
  • Cross-functional team collaboration
NodeJSExpressJSMongoDBRedisRESTful APIsAWS Lambda

MARKS App

A JEE/NEET Preparation App with 1.6 million active users and 50 million daily requests. Achieved 50% improvement in response time through backend optimization.

Key Features

  • Massive scale handling 50M+ daily requests
  • 50% improvement in response time
  • Support for 1.6M+ active users
  • Optimized backend architecture
  • Efficient data management and retrieval
  • High availability and reliability
NodeJSExpressJSMongoDBRedisRESTful APIsAWS Lambda

CloudLab (Infrastructure as Code)

A 4-node Kubernetes cluster deployment on Oracle Cloud Infrastructure (OCI) using Terraform for Infrastructure as Code (IaC).

Key Features

  • Automated infrastructure provisioning using Terraform
  • 4-node Kubernetes cluster setup
  • Cloud-init for instance configuration
  • GitOps with ArgoCD and FluxCD
  • Comprehensive monitoring with Prometheus, Grafana, and Loki
  • Backups to S3-compatible storage (Cloudflare R2)
TerraformKubernetesOracle CloudCloud-initGitOpsPrometheusGrafanaLoki

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