Hi, I'm Ayush Mukherjee

Dedicated Software Developer with extensive experience in full-stack development (React.js, Svelte, Next.js, Angular, Node.js, Express, MongoDB) 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.

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

Student Software Engineer

DLR (German Aerospace Center) – Ilmenau, Thüringen, Germany (09/2024 - 02/2025)

• Developed Material Databank web app with the team, replacing MATLAB workflows and supporting 15+ researchers in material simulation.
• Added simulation and visualization for smoother material analysis accelerating research workflows by 40%.
• Reduced setup time by 90% by Dockerizing the app and documenting installation steps, enabling reproducible installs for a non-technical team.

FULLSTACK WITH DEVOPS INTERN

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

• Developed a Load Profile Tool for boiler analysis, enhancing data processing speed.
• Built a React.js + Django web application with SSO authentication, reducing login failures.
• Containerized frontend & backend using Docker, minimizing deployment errors.
• Automated CI/CD pipelines with Azure DevOps & GitHub Actions, cutting manual deployment effort.
• Deployed the application on Azure Kubernetes Service (AKS) using Terraform, ensuring 99.8% uptime.
• Hosted team events for knowledge-sharing on new tech and AI trends.

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, Svelte, 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%.

Frontend: Svelte, Next.js + React.js, Redux, TypeScript, Vue.js, Angular

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

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

Databases: PostgreSQL, MongoDB, MySQL, Redis, NoSQL

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

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

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)

English: Advanced (C1)

German: Intermediate (B1 Ongoing)
Have built communication skills over German more through working in German speaking cross functional teams than coursebooks :)

• Email: ayush_mukherjee@outlook.com
• LinkedIn: linkedin.com/in/code-ayush-mukherjee
• GitHub: github.com/ayush-ui