whoami - DevOps & Cloud Engineer

Sai Praneeth
Bhattu

|

Technology enthusiast focused on building resilient CI/CD pipelines, containerized infrastructure, and cloud-native solutions on AWS. Bridging development and operations through automation, security, and observability.

20+
DevOps Tools
10+
AWS Services
6+
Projects
1
Research Paper
Code & Build
Git push → Maven build
Code Quality
SonarQube + OWASP
Containerize
Docker build + Trivy scan
Artifact Registry
Nexus Repository
Deploy
Kubernetes + ArgoCD
Monitor
Prometheus + Grafana

About Me

$ cat about.txt
 
Name : Sai Praneeth Bhattu
Location: Usa, Michigan
Focus : CI/CD Pipelines · Container Orchestration · IaC · Cloud Architecture
 
# Passionate about automating everything from code to deployment,
# securing pipelines with DevSecOps practices, and building
# scalable cloud-native infrastructure on AWS.

Education

  • University of Michigan - Masters in CIS, 2026–2028, GPA 4.0
  • CMR Engineering College - B.Tech CSE (AIML), 2021–2025, CGPA 7.5
  • \
  • AECS-2 CBSE - SSC, 2007–2019, CGPA 7.3

Certifications & Achievements

  • AWS AIML & Cloud Computing Certification
  • Web Development Internship - Code Clause
  • IIT Bombay: Computer Fundamentals & C Programming
  • Udemy: Web Dev Bootcamp & Python Bootcamp
  • TCS iON Career Edge - Young Professional
  • Research Paper at ICCACIT 2025

Areas of Expertise

  • CI/CD Pipeline Design & Implementation
  • Container Orchestration (Docker, Kubernetes)
  • Infrastructure as Code (Terraform, Ansible)
  • AWS Cloud Services & Architecture
  • Monitoring & Observability (Prometheus, Grafana)

Skills & Tools

DevOps & CI/CD Tools

Linux Git GitHub Maven SonarQube OWASP Jenkins Apache Tomcat Ansible Nexus Repository Docker Trivy Kubernetes ArgoCD Grafana Prometheus Terraform Helm Jira Trello DevSecOps

AWS Cloud Services

EC2EC2 S3S3 λLambda VPCVPC IAMIAM ELBELB CDNCloudFront DNSRoute 53 CWCloudWatch CTCloudTrail RDSRDS DDBDynamoDB ASGAuto Scaling EBElastic Beanstalk ECElastiCache INSPAWS Inspector

Languages & Frameworks

Python JavaScript C / C++ HTML5 CSS3 React.js Bootstrap Tailwind CSS

Databases & Project Management

MySQL MongoDB VS Code

Projects

End-to-End CI/CD Pipeline
DevOps · Security · Automation

Full DevSecOps pipeline from code commit to production. Jenkins orchestration, SonarQube for code quality, OWASP/Trivy for security scanning, Nexus for artifact management, and ArgoCD for GitOps-based Kubernetes deployment.

Jenkins Docker Kubernetes SonarQube ArgoCD Trivy Maven
AWS Infrastructure with Terraform
Cloud · IaC · Automation

Provisioned scalable AWS infrastructure using Terraform - VPC, EC2, Auto Scaling Groups, ELB, RDS, and S3 - configured with Ansible playbooks. Monitored with CloudWatch and Prometheus/Grafana stack.

EC2EC2 S3S3 Terraform Ansible CloudWatch Grafana
Containerized Multi-Tier App
Kubernetes · Helm · Docker

Multi-tier web application using Docker Compose locally and Kubernetes with Helm charts in production. Includes ingress controllers, horizontal pod autoscaling, persistent volumes, and a full observability stack.

Kubernetes Helm Docker Prometheus Grafana
Health Elite
Full Stack · Web App

Health monitoring web app for tracking diet, consultations, and personalized health plans. Built with modern frontend technologies and deployed to GitHub Pages.

HTML5 CSS3 JavaScript GitHub Pages
Stock Market Prediction
ML · Python · Streamlit

Real-time stock forecasting dashboard using Multi-Filtered LSTM. Interactive visualizations, ML-driven signals, and live data feeds. Published as a research paper at ICCACIT 2025.

Python Streamlit ML / LSTM
Web Language Translator
API Integration · JavaScript

Instant multilingual text translator powered by the MyMemory API with copy-to-clipboard and text-to-speech features. Clean responsive UI deployed on Vercel.

JavaScript Vercel CSS3

Blog

Hashnode
hashnode.dev/saipraneethbhattu
DevOps walkthroughs, cloud architecture notes, CI/CD tutorials and hands-on AWS guides
Read Blog

Publications

Conference certificate
ICCACIT 2025 - Advancements in Computational Intelligence Technologies

Stock Market Prediction using Multi-Filtered LSTM Approach

Proposes a multi-filtered LSTM model combining technical indicators with deep learning for more accurate and noise-resilient stock market predictions.

Upcoming Research

Paper in progress. Stay tuned for updates.

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