Hi, I'm Ayush Mukherjee

Software Developer | Cloud & DevOps Enthusiast

Building scalable, containerized, and automated solutions using Kubernetes, Docker, and CI/CD pipelines.

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About Me

Dedicated Software Developer with extensive experience in full-stack development and DevOps, specializing in cloud platforms (Kubernetes, Azure), CI/CD automation, and modern web applications. Proven ability to enhance system efficiency and scalability, with a focus on containerization, infrastructure-as-code, and microservices. Passionate about advancing cloud solutions and contributing innovative ideas in collaborative team settings.

Key Highlights

  • 5+ years building & deploying containerized applications using Docker & Kubernetes
  • Expert in setting up CI/CD pipelines (GitHub Actions, Azure DevOps)
  • Hands-on experience with Azure and Terraform for cloud infrastructure automation
  • Multiple hackathon wins & runner-up placements
  • Proven success in optimizing system performance and reducing deployment times

Work Experience

FULLSTACK WITH DEVOPS INTERN

BOSCH THERMOTECHNIK – Wernau, Germany (09/2024 - 02/2025)

  • Developed a Load Profile Tool for boiler analysis, enhancing data processing speed by 40%.
  • Built a Vue.js + Go web application with SSO authentication, reducing login failures by 25%.
  • Containerized frontend & backend using Docker, minimizing deployment errors by 50%.
  • Automated CI/CD pipelines with Azure DevOps & GitHub Actions, cutting manual deployment effort by 30%.
  • Deployed the application on Azure Kubernetes Service (AKS) using Terraform, ensuring 99.8% uptime.

APPLICATIONS ENGINEER (WORKING STUDENT)

BOSCH REXROTH AG – Fellbach, Germany (08/2023 - 08/2024)

  • Deployed IoT automation solutions on Bosch Rexroth ctrlX Core Controllers, improving system efficiency by 35%.
  • Developed real-time client-centric applications using Node-RED, Angular, Flask, and Kafka, enhancing data processing speed and responsiveness.
  • Authored technical documentation & tutorials in the Rexroth Community, increasing user adoption by 20%.

SOFTWARE DEVELOPMENT INTERN

BOSCH ENGINEERING GMBH – Abstatt, Germany (05/2022 - 08/2023)

  • Enhanced UI/UX components with Svelte, reducing page load time by 50%.
  • Optimized Node.js & MongoDB backend services, decreasing API response time by 30%.
  • Integrated REST APIs, ensuring seamless data exchange and system interoperability.
  • Formulated E2E UI tests with Cypress & Mocha, improving test coverage to 85%.
  • Contributed to microservices architecture, improving modularity and maintainability.

ASSOCIATE SOFTWARE ENGINEER

INDUS NET TECHNOLOGIES – Kolkata, India (11/2020 - 02/2022)

  • Architected 3 full-scale web applications using React, Next.js, and Angular, improving user engagement by 40%.
  • Integrated REST & GraphQL APIs, reducing API latency by 25%.
  • Implemented service workers & caching, boosting PWA performance by 60%.
  • Led Agile sprints using Jira & GitHub, reducing bug resolution time by 35%.

Skills

Cloud & DevOps: Kubernetes, Docker, Terraform, Azure, Kafka, Prometheus, Grafana, CI/CD (GitHub Actions, Azure DevOps), Infrastructure-as-Code (IaC), RBAC, Secrets Management, Jira

Backend: Go (Golang), Node.js, Express.js, Python (Flask), RESTful APIs, GraphQL, Concurrency (Goroutines)

Databases: PostgreSQL, MongoDB, MySQL, Redis, NoSQL

Frontend: React.js, TypeScript, Vue.js, Angular

Testing & Automation: Cypress, Jest, Unit Testing, End-to-End Testing

Projects

Schwarz IT Hackathon — Reducing Carbon Footprint via Inventory Optimization (09/2024)

  • Designed a smart inventory management system using historical sales data to optimize stock levels.
  • Built a real-time bidding system to sell near-expiry food items at reduced costs, enhancing sustainability.
  • Introduced Green Points, redeemable for tree planting in German forest reserves, promoting eco-friendly incentives.
  • Utilized LLMs for targeted marketing and personalized advertisements, improving user engagement.

Fraunhofer Smart OWL Hackathon — ML in Manufacturing (11/2023 | 3rd Place)

  • Developed an ML-based sensor replacement with Random Forest Regression, cutting temperature sensor failures by 30%.
  • Created a real-time predictive model for production accuracy, boosting efficiency by 20%.

React Application - CI/CD & Kubernetes Deployment (Case Study)

GitHub: github.com/ayush-ui/learn-devops

Problem: Showcase a fully automated DevOps pipeline for a simple React app, including containerization and secure, scalable cloud deployment.

Approach: Leveraged GitHub Actions to build & push Docker images to Docker Hub, then deployed these containers to Azure Kubernetes Service (AKS) using Kubernetes manifests. Implemented infrastructure-as-code via Terraform for provisioning resources, and used GitHub secrets to securely handle credentials.

Result: Eliminated ~70% of manual steps in the deployment process, improved consistency and reliability, and established a foundational pattern for future projects to adopt a full DevOps lifecycle.

Education

Master of Science: Research in Computer & Systems Engineering (10/2021 - 10/2025)
Technische Universität Ilmenau, Ilmenau (Thüringen)

BCA: Computer Science (08/2017 - 08/2020)
Maulana Abul Kalam Azad University of Technology, Kalyani (India)

Languages

English: Advanced (C1)

German: Elementary (A2)

Contact Me