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  • india
  • 16:18 (UTC -12:00)

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

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Midoriya-w/README.md

⚡ About Me

name: Dinesh
role: Backend Developer & Cloud Enthusiast
education: B.Tech CS (Distributed & Cloud Computing) @ SRM University AP
currently:
  - Building CloudSnap — a backend app with Flask, deployed cloud-native on Docker, Kubernetes & AWS
  - Research intern, co-authoring a paper on cloud-native architecture
  - Contributing to open-source backend & infra projects on the way to GSoC 2027
learning:
  - Backend system design & scalable APIs
  - Cloud infrastructure and platform engineering
ask_me_about:
  - Backend development, APIs, Docker, Kubernetes, AWS, CI/CD

🛠️ Tech Stack

Cloud & Infra

CI/CD & Monitoring

Backend & Languages

Tools


🚀 Featured Work

Project What it does
cloudSnap Cloud-native Flask app — Dockerized, deployed on AWS EC2, orchestrated on Kubernetes (Minikube, 3 replicas), shipped through a GitHub Actions CI/CD pipeline, monitored live with Prometheus + Grafana. Basis for an ongoing IEEE research paper.
SIH26136 Startup-friendly public procurement mechanism — built for Smart India Hackathon.
Open Source Contributions to infra and developer-tooling repos, working toward GSoC 2027.

📊 GitHub Analytics



🏙️ 3D Contribution Graph


📫 Reach Out



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  1. Midoriya-w Midoriya-w Public

    1

  2. anomaly-detection-system anomaly-detection-system Public

    AI-based anomaly detection system for industrial defect detection using CNN feature extraction and PaDiM algorithm.

  3. open-edge-platform/anomalib open-edge-platform/anomalib Public

    An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

    Python 6.2k 993

  4. cloudSnap cloudSnap Public

    HTML 1