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Kousik Varma
Gattupalli

Aspiring Cloud Engineer

AWS · CloudOps · Automation · AI/ML

I build and automate AWS infrastructure with a focus on monitoring, reliability, and operational efficiency — backed by an AI/ML foundation for cloud-hosted AI workloads.

Contact: kousikvarma9@gmail.com

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AWS Services

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Projects

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Certifications

AWS Certified CloudOps Engineer – Associate · exam in progress

Portrait of Kousik Varma Gattupalli

About

Cloud Engineer specializing in AWS infrastructure and automation.

I'm a final-year Computer Science Engineering (AI & ML) student who specializes in Cloud Engineering. I design and deploy AWS infrastructure — provisioning EC2 and VPC environments, configuring monitoring with CloudWatch, and automating incident response with Systems Manager and SNS.

Across four self-driven projects, I've worked with 15+ AWS services, built a fault-tolerant auto-healing system, and deployed a secure, low-latency static site using S3, CloudFront, and Route 53.

My AI/ML foundation extends into applied GenAI, including a RAG-based knowledge assistant built with FAISS and Sentence Transformers. I'm currently preparing for the AWS Certified CloudOps Engineer – Associate exam, and looking for entry-level Cloud Engineer, CloudOps, or DevOps roles where I can bring that same infrastructure discipline to production systems.

Education

B.Tech — Computer Science & Engineering (AI & ML)

2023 – 2027

Bapatla Engineering College, Bapatla

CGPA: 9.22

Skills & Tech Stack

Cloud & Infrastructure

AWSEC2S3IAMVPCCloudWatchSystems ManagerSNSAuto ScalingLoad BalancerCloudFrontRoute 53CloudFormation

Networking

TCP/IPDNSHTTP/HTTPSSubnettingRouting

Scripting & Programming

PythonBashYAMLFlaskStreamlit

Systems & Tools

LinuxWindowsGitGitHub

AI / ML & GenAI

Machine LearningPrompt EngineeringRAGFAISSSentence TransformersGemini APIScikit-learnPandasNumPy

CURRENTLY LEARNING

DevOpsCI/CDKubernetesTerraform

Projects

AUG — SEP 2026

AWS Infrastructure Monitoring & Auto-Healing System

A fault-tolerant AWS setup that detects failures and triggers recovery without manual intervention.

  • Designed the infrastructure with EC2, Application Load Balancer, Auto Scaling, IAM, and VPC.
  • Configured CloudWatch monitoring, logs, and alarms for CPU, instance-health, and application failures.
  • Automated incident notification and remediation using SNS and Systems Manager.

ARCHITECTURE

Users→ ALB→ EC2 Auto Scaling Group→ CloudWatch→ SNS→ Systems Manager→ Recovery
EC2VPCASGALBSSMSNSIAM
View on GitHub →

JUN — JUL 2026

AWS Static Portfolio Deployment

A responsive site delivered securely with low latency through S3 and CloudFront.

  • Hosted on Amazon S3 and distributed through CloudFront.
  • Configured Route 53, HTTPS, and S3 versioning; all domain tests passed.
  • Tested 10+ availability and content-update scenarios.

ARCHITECTURE

Users → Route 53 → CloudFront → S3 (Static Website)
S3CloudFrontRoute 53
View on GitHub →

APR — JUN 2026

RAG Knowledge Assistant

A question-answering assistant over PDF, DOCX, and TXT documents.

  • Retrieval with Sentence Transformers and FAISS — 85% answer accuracy across 100+ queries.
  • Gemini 2.5 Flash for context-aware responses with source attribution.
  • Supports 3 document formats through a Streamlit interface.

ARCHITECTURE

User Query → Streamlit UI → Sentence Transformers → FAISS Vector Search → Gemini 2.5 Flash → Response
PythonStreamlitFAISSSentence TransformersGemini API
View on GitHub →

NOV — DEC 2025

Student Performance Prediction

An end-to-end ML web app that predicts a student's final grade and pass/fail status from study time, travel time, health, and absences.

  • Built regression (final grade) and classification (pass/fail) models; compared Linear Regression, Logistic Regression and Random Forest using R², accuracy, precision, recall and F1-score.
  • Handled class imbalance with class weighting and removed demographic features (e.g., parental education) to reduce bias.
  • Deployed with Flask using Joblib-saved models, input validation, a confidence bar and a dark/light theme.

ARCHITECTURE

User Input → Flask App → Trained Model (Joblib) → Prediction Engine → Result UI
PythonScikit-learnPandasNumPyFlask
View on GitHub →

Certifications

AWS Certified CloudOps Engineer – Associate IN PROGRESS
Oracle Cloud Infrastructure 2025 – Certified AI Foundations Associate Oracle
Advanced RAG with Vector Databases and Retrievers IBM · Coursera, Jun 2026

Let's build infrastructure that doesn't page anyone at 3am.

Open to entry-level Cloud Engineer, CloudOps, and DevOps roles.