Hey, I'm Sai Shanmukkha!

I am Sai Shanmukkha Surapaneni, a passionate cloud enthusiast and active learner with a robust background in software engineering and infrastructure automation. With a passion for automation, cloud infrastructure, and building scalable, efficient, and secure systems, my experience spans across Cloud DevOps and Software Engineering. I leverage technologies like AWS, Kubernetes, Terraform, CI/CD pipelines, and Python scripting to optimize workflows and enhance system performance.

With AWS certifications, including Developer - Associate and Solutions Architect - Associate, I possess a deep understanding of cloud technologies and best practices. I thrive on embracing complex challenges and collaborating with diverse teams to deliver scalable, efficient solutions that meet evolving technological demands.

# GitHub Contributions

# Skills

Programming Languages

Python

Bash/Shell Scripting

JavaScript

TypeScript

Java

DevOps

AWS Cloud

RedHat Linux

Ubuntu Server

Splunk

Puppet

Chef

ELK Stack

Docker

Kubernetes

Git

GitHub

GitLab

Jenkins

RedHat Ansible

Terraform

Prometheus

Grafana

Nginx

Databases and Query Languages

SQL

GraphQL

MS SQL Server

Postgres

MongoDB

Web Development

HTML5

CSS3

Tailwind

React Js

Next Js

Node Js

Next Auth

Express.JS

Prism ORM

# Certifications

# Specialization Courses

Google IT Automation with Python

- Coursera

# Work Experience

Software Engineering Intern

Stratajam LLC

June 2024 - August 2024

Revamped company and product websites using Next.js, significantly enhancing user experience and functionality.
Configured and streamlined CI/CD pipelines for deployment, ensuring efficient and reliable release processes.
Provisioned necessary infrastructure and implemented autoscaling to support performance under varying load and demand.
Integrated Google Analytics for comprehensive user behavior and performance tracking.
Configured SonarQube to monitor code quality, detect security vulnerabilities, and maintain clean code practices through automated builds.
Deployed multiple internal tools to support operations and improve workflow automation.
Optimized production environments, ensuring 99.9% uptime, improved scalability, and reinforced security across infrastructure.
Others...

Graduate Research and Teaching Assistant

Texas State University

January 2023 - December 2024

Tutored undergraduates in Python Programming, Computer Networks, and Digital Image Processing, covering key concepts and techniques.
Supported students with programming assignments and projects to enhance their understanding and problem-solving skills.
Led tutorial sessions to reinforce lecture material and clarify challenging topics.
Conducted research on machine learning-based image processing techniques, focusing on noise reduction and image enhancement for biomedical applications.
Worked on image encryption techniques using mixed chaotic mappings to enhance data security and resistance against cryptographic attacks.
Assisted in data collection, preprocessing, and model evaluation for a faculty-led project on real-time traffic monitoring using computer vision.
Co-authored internal technical reports and contributed to literature reviews and experimental design for ongoing research publications.
Developed automation scripts for data analysis and visualization, improving research efficiency and reproducibility.
Others...

Cloud DevOps Engineer

Deloitte

July 2021 - December 2022

Developed Python and RedHat Ansible scripts to automate tasks, significantly enhancing operational efficiency by 80% and integrating them into multiple CI/CD pipelines.
Optimized resource utilization and cost management across AWS environments through monitoring tools and custom scripts, contributing to a 20% reduction in operational costs via data-driven decision-making.
Engineered Infrastructure as Code (IaC) scripts using AWS CloudFormation and Terraform to streamline the deployment of scalable and repeatable environments, automating AWS infrastructure deployments to ensure secure and cost-effective solutions.
Collaborated with cross-functional teams to diagnose and resolve issues in Linux servers and AWS Cloud infrastructure, ensuring high system reliability and performance.
Led monthly patch management initiatives, working with multiple teams to reduce system vulnerabilities and enhance security compliance.
Others...

# Volunteer Experience

Austin AI Allaince

LLM based AI Chatbot Development

December 2024 - Present

Collaborated with AI engineers to design and implement new chatbot features, including context-aware document querying and summarization using OpenAI LLMs and vector-based retrieval.
Developed a robust backend for a document-processing pipeline to parse, embed, and index unstructured data (PDF, DOCX) using OpenAI embeddings and Milvus, enabling accurate semantic search.
Built a responsive frontend interface in Next.js and Tailwind CSS, allowing users to upload documents, interact with the chatbot, and receive context-driven answers in real time.
Architected scalable, secure cloud infrastructure using AWS Lambda, API Gateway, EC2, and S3, following IaC best practices with Terraform for repeatable deployments.
Deployed application services via CI/CD pipelines using GitHub Actions, automating test, build, and deployment workflows to ensure consistency and reduce manual effort.
Containerized backend services using Docker and deployed with AWS ECS Fargate, improving modularity, performance, and scalability under varying traffic loads.
Integrated monitoring and logging systems to maintain system health, ensure uptime, and support ongoing performance tuning.

Dev.to Community

Dev Challenges - Judge

July 2024 - Present

Evaluated and scored diverse developer challenge submissions based on code quality, creativity, and adherence to problem constraints.
Provided constructive feedback to participants, promoting best practices in software development and user experience.
Collaborated with a panel of judges and community moderators to ensure fair and unbiased assessment of entries.
Helped shape future challenge themes and criteria by contributing insights from past events.
Actively engaged with the community through discussions, Q&A, and sharing technical resources.

# Projects

Real-Time kubernetes Cluster Carbon Emissions and Energy Consumption Monitoring tool.

Source Code

Developed a tool which monitors kubernetes cluster carbon and energy based CPU utilization. This works for kubernetes clusters deployed on AWS Ec2 as well as AWS EKS services. It provides a prometheus endpoint to scrape carbon and energy data which makes it easy to integrate with Grafana for better visualization. This tool monitors all as well as selected servers in the cluster.

#Green Software#AWS Cloud#Kubernetes#Docker#Containers#Python

Advanced Image Encryption Algorithm

Source Code

Implemented image encryption algorithm based on josephus scrambling and mixed logistic chaotic mapping. It uses 256 bit key for encrytion and decryption.

#Cryptography#Python

ChromaStone Blog

Source Code

Blog Site built Next.js framework. It uses Amazon S3 file storage and AWS RDS PostgresDB as database.

#AWS RDS#Amazon S3#JavaScript#Next.JS#Tailwind

Personal Profile website

Private Repo

The website you are currently viewing has been developed using the Next.js framework and deployed on vercel.

#JavaScript#Next.JS#Tailwind

Academic Schedular

Private Repo

Built Academic scheduling application that assists administrators to schedule courses, faculty and classes based on various factors with conflict detection.

#JavaScript#Next.JS#Tailwind#Python#Django REST API#MS SQL Server#Docker