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Ashish241/README.md

Hi ๐Ÿ‘‹, I'm Ashish Kumar Ishwar

โ˜๏ธ Cloud & DevOps Enthusiast | ๐ŸŒ Full-Stack Developer


๐Ÿš€ About Me

3rd-year B. Tech Computer Science student at Amity University Jharkhand, with a strong passion for cloud-native systems and backend development. Hands-on experience with Kubernetes, Docker, and cloud platforms such as GCP, along with a solid foundation in Linux, networking, and CI/CD workflows. I am comfortable working across both backend and frontend stacks using technologies like Python, TypeScript, and Golang.


โ˜๏ธ Cloud & DevOps Focus

snake

  • ๐Ÿณ Hands-on experience with Docker and Kubernetes (Pods, Deployments, HPA)
  • ๐Ÿ” Learning CI/CD pipelines and DevOps workflows
  • โ˜๏ธ Working with Google Cloud Platform (GCP)
  • ๐Ÿง Linux Administration and networking basics
  • ๐Ÿ“ˆ Building predictive auto-scaling systems using ML models

๐Ÿ›  Tech Stack

โ˜๏ธ Cloud & DevOps

๐Ÿ’ป Programming Languages

๐ŸŒ Web Development

๐Ÿ—„๏ธ Databases & Tools

๐Ÿ›  IDEs & Tools


๐Ÿ“‚ Featured Projects

โš™๏ธ KubASIE โ€“ Kubernetes Auto-Scaling Intelligence Engine

GitHub: github.com/Ashish241/KubASIE

An ML-powered predictive Kubernetes auto-scaler that dynamically adjusts Horizontal Pod Autoscalers to optimize costs while maintaining SLAs.

  • Designed a predictive auto-scaling system for Kubernetes using ML models
  • Integrated LSTM + Prophet for time-series forecasting of cluster load
  • Built a policy engine to override HPA decisions based on predictions
  • Exposed scaling logic via FastAPI microservice
  • Implemented observability using Prometheus metrics

๐Ÿ‘‰ Key Impact:

  • Reduced reactive scaling delays
  • Improved SLA stability under fluctuating workloads
  • Optimized resource utilization and cost

Tech Stack:


๐ŸŒ Portfolio Website

GitHub: github.com/Ashish241/PortFolio โ€ข Live: Visit Portfolio

  • Fully responsive portfolio with reusable UI components built in React + TypeScript
  • Integrated GitHub repositories and structured project showcases for professional presentation
  • Applied version control best practices using Git

Tech Stack:


๐ŸŽฎ SquadSync โ€“ Gaming Collaboration Platform

GitHub: github.com/Ashish241/squadsync

  • Team collaboration platform enabling matchmaking and user interaction for esports
  • Designed scalable frontend architecture with modular component-based development

Tech Stack:


๐Ÿ“š Currently Learning


๐Ÿ“œ Certifications & Achievements

Badge Certification Issuer Date
โ˜๏ธ Build a Secure Google Cloud Network โ€“ Skill Badge Google Cloud Aug 2025
โ˜๏ธ Set Up an App Dev Environment on Google Cloud โ€“ Skill Badge Google Cloud July 2024
๐Ÿค– Career Essentials in Generative AI Microsoft & LinkedIn July 2024
๐Ÿ—„๏ธ Database Fundamentals โ€“ Database Concepts โ€” Sep 2023
๐Ÿ† GenAI Exchange Hackathon 2025 โ€“ Participant Hack2Skill / Google Cloud 2025

๐ŸŽ“ Education

Degree Institution Score Year
๐ŸŽ“ B.Tech โ€“ Computer Science Engineering Amity University Jharkhand CGPA: 7.6 Expected 2027
๐Ÿ“˜ 12th Grade Gossner College, Ranchi 66% 2023
๐Ÿ“— 10th Grade Saraswati Shishu Vidya Mandir 77% 2021

๐Ÿ“Š GitHub Analytics


๐Ÿ‘€ Profile Visitors


๐Ÿค Internship Availability

๐Ÿš€ Actively seeking Cloud / DevOps / Frontend Internship Opportunities

๐Ÿ“ Ranchi, Jharkhand, India | ๐Ÿ“ง ashishkum2411@gamil.com

Open to collaboration, real-world projects and learning


"The best time to plant a tree was 20 years ago.
 The best time to deploy a container was yesterday."
                                         โ€” probably Ashish

โญ Star a repo if you like what you see โ€” it means the world! โญ

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  1. KubASIE KubASIE Public

    An intelligent auto-scaling system that predicts traffic patterns using Machine Learning, dynamically adjusts Kubernetes HPA scaling rules, and reduces infrastructure costs while maintaining SLA guโ€ฆ

    Python

  2. kubeflow-manifests kubeflow-manifests Public

    Forked from kubeflow/manifests

    Kubeflow Deployment Manifests

    YAML

  3. kubeflow-pipelines kubeflow-pipelines Public

    Forked from kubeflow/pipelines

    Machine Learning Pipelines for Kubeflow

    Python

  4. kubeflow-website kubeflow-website Public

    Forked from kubeflow/website

    Kubeflow Website

    HTML

  5. PortFolio PortFolio Public

    TypeScript

  6. squadsync squadsync Public

    CSS