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Penaka Vishnu Reddy

AWS Certified Solutions Architect – Associate | Cloud & DevOps Engineer Driving Scalable & Secure Infrastructure | CI/CD | Kubernetes | Automation

Hyderabad

2+ years of work experience

e2open
Sep 20241 yr 9 mosPresent

Hyderabad, Telangana, India

• Implemented and supported enterprise integration solutions, ensuring secure and scalable data flows across distributed systems. • Automated deployment and configuration processes, reducing turnaround time and improving release consistency. • Troubleshot and optimized production environments using Linux and cloud-based infrastructure, improving system reliability. • Contributed to backend automation and performance tuning to enhance operational scalability.
MOURI Tech
Nov 20236 mosApr 2024

Hyderabad, Telangana, India

• Built and evaluated Large Language Model (LLM) workflows using prompt engineering to improve task automation and response optimization. • Developed Python-based automation scripts supporting cloud and backend integrations. • Assisted in configuring CI/CD pipelines and deployment environments within cloud platforms. • Contributed to AI-based proof-of-concept solutions integrating data pipelines and scalable infrastructure.

Education

Amrita Vishwa Vidyapeetham

Bachelor of Technology - B.Tech., Computer Science Engineering and Artificial Intelligence

Amrita Vishwa Vidyapeetham

20204 yrs2024

Higher Secondary

Narayana Junior College , hyderabad

20182 yrs2020

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Headline

AWS Certified Solutions Architect – Associate | Cloud & DevOps Engineer Driving Scalable & Secure Infrastructure | CI/CD | Kubernetes | Automation

About

I design and automate scalable cloud infrastructure that improves deployment speed, system reliability, and operational efficiency. I am an AWS Certified Solutions Architect – Associate and a Cloud & DevOps Engineer with a background in Artificial Intelligence. My work focuses on building secure, production-ready systems across AWS and Azure environments using modern DevOps and cloud-native practices. I have implemented CI/CD pipelines that streamlined deployment workflows, reduced manual intervention through automation, and improved release consistency. I have worked with Kubernetes and Docker to support containerized applications, optimized cloud resources, and contributed to backend and data engineering systems designed for scale. With an academic foundation in AI and hands-on exposure to ML-based detection systems and Gen-AI/LLM integrations, I understand how to architect infrastructure that supports data-intensive and intelligent applications. This enables me to bridge cloud engineering with AI-driven workloads effectively. Impact Areas • Automated infrastructure and deployment workflows to enhance efficiency • Improved pipeline reliability and deployment consistency • Contributed to scalable cloud data and backend systems • Applied security-first principles in cloud-native environments • Supported AI-driven systems with scalable infrastructure design Core Skills AWS | Azure | CI/CD | Kubernetes | Docker | Python | Linux | Terraform | Infrastructure Automation | Cloud Security | Gen-AI | Machine Learning | Observability I am particularly interested in Cloud, DevOps, Platform Engineering, and AI-integrated infrastructure roles where I can build resilient systems designed for long-term scale and reliability.

Location

Hyderabad

Work experience

Associate Implementation Engineer at e2open, Sep 2024 - Present · 1 yr 9 mos, Hyderabad, Telangana, India, • Implemented and supported enterprise integration solutions, ensuring secure and scalable data flows across distributed systems. • Automated deployment and configuration processes, reducing turnaround time and improving release consistency. • Troubleshot and optimized production environments using Linux and cloud-based infrastructure, improving system reliability. • Contributed to backend automation and performance tuning to enhance operational scalability.

Intern at MOURI Tech, Nov 2023 - Apr 2024 · 6 mos, Hyderabad, Telangana, India, • Built and evaluated Large Language Model (LLM) workflows using prompt engineering to improve task automation and response optimization. • Developed Python-based automation scripts supporting cloud and backend integrations. • Assisted in configuring CI/CD pipelines and deployment environments within cloud platforms. • Contributed to AI-based proof-of-concept solutions integrating data pipelines and scalable infrastructure.

Education

Bachelor of Technology - B.Tech., Computer Science Engineering and Artificial Intelligence, Amrita Vishwa Vidyapeetham

Higher Secondary, Narayana Junior College , hyderabad