Vaibhav Sudrik
Vaibhav Sudrik
Aspiring Data Scientist | AI/ML & Generative AI | Python • Pandas • NumPy • Scikit-learn • Power BI | Hadoop • Hive • AWS Cloud & DevOps | Cloud Computing Graduate
AWS-focused Cloud Computing engineer specializing in serverless systems, CI/CD automation, Kubernetes orchestration, and Machine Learning on the cloud. From anomaly detection pipelines to immutable infrastructure-as-code — I build systems that scale and think.
Who is Vaibhav?
Professional Profile & Education
I am a BSc Cloud Computing graduate from Savitribai Phule Pune University (May 2026). My passion lies at the intersection of development, operations, and intelligent systems — focused on AWS cloud infrastructure and modern automation.
I build event-driven architectures, secure IAM systems, and end-to-end CI/CD pipelines using Docker, Kubernetes, Jenkins, and GitHub Actions. Recently expanded into Machine Learning on AWS — applying Scikit-learn for cloud cost anomaly detection and building serverless ML pipelines with Lambda and EventBridge.
Currently focused on strengthening my Data Science, Machine Learning, and Generative AI skills through hands-on projects and classes, while continuing to apply my AWS cloud and DevOps background to real-world data pipelines.
BSc Cloud Computing
Savitribai Phule Pune University • CGPA: 7.70 (2023 - 2026)
HSC (Science)
Maharashtra State Board • 72.67% (2022 - 2023)
SSC
Maharashtra State Board • 86.60% (2021 - 2022)
My Certifications
Microsoft Power BI Certificate
Industrial Training Program • Data & Analytics
✓ CompletedAWS Cloud Workshop
Logipool Infotech, Pune • Core Infrastructure Hands-on
✓ CompletedArtificial Intelligence Fundamentals
IBM • AI, ML, NLP, Computer Vision & Ethics
✓ CompletedCloud Computing Fundamentals
IBM • Cloud Services, Virtualization & Security
✓ CompletedData Analytics Job Simulation
Deloitte • Feb 28th, 2026
✓ CompletedAWS Certified AI Practitioner
Amazon Web Services • Foundational Level
⏳ In Progress • Exam Scheduled 2026Technical Skillset
AWS
GCP
Docker
Kubernetes
Jenkins
GitHub Actions
Terraform
Prometheus
Python
Machine Learning
Bash Scripting
Linux
MySQL
Pandas
NumPy
Scikit-learn
Power BI
Excel
AWS RDS
AWS DynamoDB
AWS SNS
AWS Route53
AWS VPC
My Services
CI/CD Pipeline Build
I design and build robust CI/CD pipelines using GitHub Actions or Jenkins to fully automate your build, test, and deployment workflows with zero downtime.
AWS Cloud Infrastructure
I architect scalable, highly-available cloud environments on AWS — EC2, S3, Lambda, VPCs, and IAM — ensuring top-tier security and reliability.
Kubernetes Orchestration
I containerize applications using Docker and deploy them to Kubernetes clusters on AWS EC2 with automated scaling and high availability.
Infrastructure as Code (IaC)
I provision and manage cloud infrastructure programmatically using Terraform, ensuring consistent, repeatable, and version-controlled environments.
Monitoring & Observability
I set up real-time monitoring and alerting pipelines using Prometheus and AWS CloudWatch to identify bottlenecks and maintain high service availability.
Cloud Security & IAM
I design least-privilege IAM roles and policies to secure your AWS resources, ensuring only the right services and users have the right access.
ML Pipelines on AWS
I build serverless machine learning pipelines on AWS — from Scikit-learn anomaly detection models to automated retraining triggers using Lambda, EventBridge, and DynamoDB.
My Projects
HR Analytics Dashboard
Collected and cleaned HR data such as headcount, attrition, and employee performance. Built an interactive Power BI dashboard to track key HR metrics, with visual reports to identify attrition patterns for better decision-making.
Supply Chain Inventory Analysis
Built a data pipeline moving raw inventory data from S3 to HDFS for storage, processed and queried using Hive to analyze stock and demand trends, then loaded results back to S3 and visualized inventory insights in Power BI.
Sales Prediction Model
vaibhav343343/Building-a-Sales-Prediction-Model-with-Python-and-Scikit-learnCleaned and preprocessed raw sales data using Python and Pandas, performed statistical analysis and EDA to identify key patterns and trends, and built a predictive model using Scikit-learn to forecast future sales.
DeployFlow: AWS CI/CD Pipeline
vaibhav343343/deployflow-aws-ci-cd-pipelineBuilt an end-to-end automated CI/CD pipeline using GitHub Actions. Orchestrated containerized deployment flows using Docker and Kubernetes clusters on AWS EC2 for continuous, zero-downtime delivery.
Serverless AWS E-Commerce
vaibhav343343/serverless-ecommerce-awsBuilt a highly scalable serverless e-commerce platform using AWS Lambda and API Gateway. Integrated DynamoDB for product/order data management and SNS for real-time order notifications.
Kubernetes Microservice Deployment
vaibhav343343/Kubernetes-Deployment-of-a-MicroserviceContainerized a Python FastAPI microservice using Docker and deployed it onto a Kubernetes cluster hosted on AWS EC2, demonstrating production-grade high availability and automated horizontal scaling.
Serverless Notification System
vaibhav343343/Serverless-Notification-SystemConfigured EventBridge rules to listen to EC2 state-change events and trigger Lambda functions that push real-time alerts via SNS. Reduced incident response time from 10+ minutes to under 30 seconds.
Multi-Region NoSQL Database
vaibhav343343/Multi-Region-NoSQL-DatabaseWrote Python ETL scripts to parse and migrate data from S3 JSON files into DynamoDB tables automatically. Configured Global Tables across ap-south-1 and us-east-1 for <100ms latency worldwide.
Cloud Cost Optimization & Anomaly Detection
vaibhav343343/cloud-cost-optimization-platformBuilt a fully serverless cloud cost optimization platform that applies Scikit-learn Isolation Forest ML models to detect AWS spending anomalies in real time. Automated EBS/EC2 cleanup triggered by EventBridge, with SNS alerting and DynamoDB audit trails — cutting projected cloud waste by 30%.
My Writings & Blogs
Deploying a FastAPI Microservice on Kubernetes using AWS EC2
Learn how to containerize a FastAPI application with Docker and orchestrate it on a high-availability Kubernetes cluster hosted on AWS EC2 nodes.
Read ArticleBuilding a Production-Ready Serverless E-Commerce Platform on AWS
Learn how to architect, secure, and deploy a highly scalable serverless e-commerce platform on AWS using API Gateway, Lambda, DynamoDB, and SNS with production-ready best practices.
Read ArticleBuilding a Multi-Region NoSQL Database on AWS using DynamoDB Global Tables
Explore how to set up and configure highly resilient, multi-region NoSQL active-active datastores using AWS DynamoDB Global Tables for sub-100ms global latency and automatic disaster recovery.
Read ArticleDeployFlow: Building an End-to-End CI/CD Pipeline with GitHub Actions, Docker, and AWS
A deep dive into automating your deployment lifecycle: containerizing with Docker, orchestrating, and pushing updates securely using automated GitHub Actions directly to AWS compute clusters.
Read ArticleBuilding a Supply Chain Inventory Analysis Pipeline using AWS S3, Hadoop, Hive & Power BI
A step-by-step walkthrough of building a data pipeline that moves raw inventory data from AWS S3 to HDFS, processes and queries it with Hive to uncover stock and demand trends, and visualizes the results in Power BI.
Read ArticleBuilding a Sales Prediction Model with Python and Scikit-learn
Learn how to clean and preprocess raw sales data using Python and Pandas, perform statistical analysis and EDA to identify key patterns, and build a machine learning model with Scikit-learn to forecast future sales.
Read Article