Passion Fuels Purpose!
Biography
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.
Skills
Education
BSc Cloud Computing
2023 – 2026 | Savitribai Phule Pune UniversityCGPA: 7.70 | Specialized in AWS cloud infrastructure, DevOps engineering, containerization with Docker & Kubernetes, CI/CD pipelines, and Machine Learning on cloud platforms.
HSC (Science)
2022 – 2023 | Maharashtra State BoardPercentage: 72.67% | Strong foundation in Physics, Chemistry, and Mathematics.
SSC
2021 – 2022 | Maharashtra State BoardPercentage: 86.60% | Graduated with distinction.
Certifications
Microsoft Power BI Certificate
Industrial Training Program • Data & AnalyticsAWS Cloud Workshop
Logipool Infotech, Pune • Core InfrastructureArtificial Intelligence Fundamentals
IBM • AI, ML, NLP, Computer VisionCloud Computing Fundamentals
IBM • Cloud Services, Virtualization & SecurityData Analytics Job Simulation
DeloitteAWS Certified AI Practitioner
Amazon Web Services • Foundational LevelMy Services
CI/CD Pipeline Build
Robust CI/CD pipelines using GitHub Actions or Jenkins to automate build, test, and deployment workflows with zero downtime.
AWS Cloud Infrastructure
Scalable, highly-available cloud environments on AWS — EC2, S3, Lambda, VPCs, and IAM — ensuring top-tier security.
Kubernetes Orchestration
Containerized applications using Docker deployed to Kubernetes clusters on AWS EC2 with automated scaling.
Infrastructure as Code (IaC)
Provision and manage cloud infrastructure programmatically using Terraform, ensuring consistent version-controlled environments.
Monitoring & Observability
Real-time monitoring and alerting pipelines using Prometheus and AWS CloudWatch to identify bottlenecks.
ML Pipelines on AWS
Serverless machine learning pipelines on AWS — from Scikit-learn models to automated retraining triggers.