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gnaanmohan2118/README.md

Hi, I'm Gnana Ganesh πŸ‘‹

DevOps/Cloud Engineer β€’ Python Backend Developer β€’ Gen AI Enthusiast
Building scalable, secure, cloud-native systems with passion and purpose.


πŸ§‘β€πŸ’» About Me

I'm a Software Engineer with 2 years of experience working on DevOps, Cloud, and Backend systems.
I love designing scalable microservices, automating infrastructure, and making systems secure, observable, and cloud-ready.

  • Experienced in AWS, Azure, Kubernetes, Docker, Terraform, FastAPI, CI/CD, and Redis
  • Reduced manual workflows by 40% and maintained >99.5% uptime across mission-critical systems
  • Currently exploring GenAI integrations (LLaMA, GPT-3.5, LangChain) and building scalable real-time platforms

πŸ› οΈ Tools & Technologies


πŸ† Certifications

  • πŸ… AWS Certified Solutions Architect - Associate
  • πŸ—οΈ HashiCorp Certified: Terraform Associate
  • ⏳ Certified Kubernetes Administrator (CKA) – In Progress
  • πŸ… AWS Certified DevOps professional

πŸ“ˆ GitHub Stats



πŸ’Ό Work Experience

πŸ”ΈSDE@Accenture (Feb 2024 – Present)

  • Developed ERP components using Python, JavaScript, and AWS RDS, supporting 2,500+ active users with 300+ concurrent sessions. Automated on-prem Unix workflows using Bash, and resolved application incidents via ServiceNow and Splunk, maintaining >99.5% uptime and improving system reliability.
  • Engineered and deployed a secure, internal Generative AI knowledge retrieval application, integrating LLM APIs with proprietary organizational data for contextually relevant code generation, summarization, and more significantly enhancing internal team productivity.
  • Led CI/CD pipelines and managed deployments across UAT and production using GitHub, CodePipeline, Terraform, CloudFormation, and Kubernetes, ensuring zero-downtime releases, version control, rollback safety, and consistent staging-to-production workflows.
  • Orchestrated a full-scale migration of legacy on-prem databases to AWS RDS and DynamoDB, leveraging SQS for decoupled message queuing, Lambda for automated processing, and AWS Glue for ETL pipelines. Ensured 100% data integrity, minimized downtime, and streamlined monitoring for proactive failure detection, delivering a robust, scalable, and fully automated migration workflow.
  • Awarded ACE Award for resolving high-impact production issues and improving overall system uptime.

πŸ“š Education

πŸŽ“ SRM Institute of Science and Technology, Chennai
Bachelor of Technology in Computer Science (2019–2023)
First Class with Distinction


πŸ“« Let's Connect

πŸ“§ Email | πŸ”— LinkedIn | πŸ’» GitHub |


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