Introduction to DevOps

Troubleshooting and Debugging Techniques

Introduction to Large Language Models

Introduction to Generative AI Learning Path Specialization

Introduction to Responsible AI

Introduction to Ansible: The Fundamentals

Cloud Functions: Qwik Start - Command Line

Open Source Software Development Methods

Responsible AI: Applying AI Principles with Google Cloud

Introduction to Software Engineering

Introduction to HTML5

Pair Programming with AI

Programming for Everybody (Getting Started with Python)

Cutshort Certified Python - Advanced

Hands-on Introduction to Linux Commands and Shell Scripting

Crash Course on Python

Microsoft Certified: Azure Fundamentals

Google IT Automation with Python Specialization

Using Python to Interact with the Operating System

Introduction to SQL for BigQuery and Cloud SQL

Introduction to Git and GitHub

Google AI Essentials

Create Your First Web App with Python and Flask

Introduction to Agile Development and Scrum

Configuration Management and the Cloud

Building Generative AI-Powered Applications with Python

Build a Data Science Web App with Streamlit and Python

Introduction to Generative AI 

Introduction to Bash Shell Scripting

Senior Secondary

Integrated Master of Science

Secondary

● Answered 200+ physics questions by applying deep subject knowledge and clear explanations, which helped thousands of students grasp complex concepts and improve academic performance. ● Delivered thorough, accessible explanations that clarified challenging topics, supporting a diverse learner base and contributing to the platform’s educational goals.

QnA Expert (Physics)

● Provided 500+ high-quality physics solutions by leveraging advanced physics expertise and precise LaTeX formatting, leading to improved student engagement and learning outcomes. ● Utilized LaTeX to format detailed, step-by-step solutions, enhancing readability and student understanding while maintaining high quality and timely responses.

Physics QnA Expert

● Accomplished validation of infrastructure changes by architecting a production-grade k3s Kubernetes cluster on Ubuntu Server, enabling safer deployments and iterative improvements. ● Automated deployment and lifecycle management of applications by configuring FluxCD to continuously reconcile Kubernetes manifests from Git, which ensured consistent, reliable updates with minimal manual intervention. ● Accelerated development and deployment cycles by building end-to-end CI/CD pipelines in GitHub Actions and enforcing standardized developer environments via Ansible-driven Dev Containers, improving onboarding and workflow consistency. ● Strengthened cluster security posture by integrating HashiCorp Vault with External Secrets Operator, preventing secret exposure in Git and securing sensitive data management. ● Reduced environment setup time by over 95% through automation using Ansible, mise-en-place, chezmoi, and Bash scripts, enabling reproducible setups across diverse environments inclu

DevOps Assistant

● Designed reproducible AI evaluation tasks by authoring Docker-based sandbox environments, oracle solutions, and automated test suites to benchmark LLM-driven terminal agents. ● Created task specifications and instructions that balance clarity with non-disclosure of solutions, ensuring fair and rigorous evaluation of AI reasoning and tool-use. ● Developed automated verification scripts leveraging real execution logs to test correctness, determinism, and reproducibility of agent solutions. ● Collaborated with modern AI frameworks (LLM-powered terminal agents, sandbox orchestration) to stress-test models in realistic software engineering workflows.

Software Engineer - Bash/Linux

● Delivered an AWS data pipeline automation framework in Python, reducing regression test execution time by ~87.5% (from 2 hours to 15 minutes), saving over 120 man-hours monthly and accelerating delivery cycles. ● Improved AWS resource deployment and test reliability by automating orchestration of S3, Lambda, EC2, Aurora, and SNS using Boto3 SDK, boosting test stability by 30%. ● Achieved 95% automation coverage in development and system testing by containerizing a Data Validator Tool with Docker and deploying it on OpenShift, integrated seamlessly with Jenkins CI/CD pipelines, which accelerated test feedback by 40%. ● Reduced manual data inspection time by 70% and enhanced cross-database validation across PostgreSQL, Oracle, and SQL Server by leveraging DuckDB abstractions, enabling rapid verification of complex data flows. ● Spearheaded enterprise-wide adoption of reusable automation frameworks across 5+ teams, standardizing shift-left testing practices and enabling earlier defect d

Project Engineer

Python

docker

Linux

Kubernetes

DevOps

DevOps & Automation Engineer

DevOps Engineer | Hands-on Kubernetes, GitOps & Python Automation | Driving Operational Efficiency

github

Know about Rajesh Das's work experience, education, bootcamps, certifications, and much more. Rajesh Das