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Studying (?)
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Studying (?)
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Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Organizations

@arlonproj

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ShaunakJoshi1407/README.md

Hi 👋, I'm Shaunak Joshi

Backend & DevOps Engineer — Python | Go | Cloud

Coding

shaunakjoshi1407

Quick pitch: I build reliable, scalable backend systems and automate CI/CD at scale. I use Python and Go for backend services and tool-building, and I focus on cloud-native patterns that improve developer productivity and operational resilience.

What I'm looking for: Open to MLOps, DevOps, and Distributed Systems (backend) roles where I can combine backend engineering with infrastructure, observability, and ML/AI for distributed systems.

Recent highlights

  • Published a reusable Snyk GitHub Actions workflow that increased vulnerability visibility by ~40% across the org.
  • Reduced Jenkins job runtimes by ~20% through migration to a Python CLI-based pipeline and improved shared tooling.
  • Integrated SonarQube into CI, improving test coverage and removing ~30% duplicated code across services.

Currently

  • Learning: ML / AI techniques applied to distributed systems and MLOps patterns.
  • Certification prep: AWS Certified Solutions Architect — Associate (SAA-C03).

Professional Summary

  • Backend & DevOps engineer experienced in building cloud-native systems, automation, and release engineering using Python and Go.
  • Strong background in CI/CD (Jenkins, GitHub Actions), containerization and orchestration (Docker, Kubernetes), and AWS deployments.
  • Experience with testing and code-quality tooling (pytest, SonarQube, Snyk) to drive engineering standards.

Experience

Software Engineer — Hewlett Packard Enterprise (MN, USA)

Jul 2025 – Present Tech: Python, Go, Jenkins, GitHub Actions, REST APIs, Bash, Snyk, SonarQube, pytest, Groovy, AWS

  • Designed and published a reusable Snyk workflow for GitHub Actions that increased vulnerability reporting coverage by ~40% across the organization.
  • Migrated legacy Jenkins pipelines to a modern Python CLI library, reducing average job runtime by ~20%.
  • Enhanced a shared CLI repository with CI tool detection, container-upload manifest support, and compatibility with newer Python versions to boost cross-team adoption.
  • Integrated SonarQube into Jenkins pipelines, improving code coverage and reducing duplicated code by ~30%.

Projects & Links

Connect with me

https://www.linkedin.com/in/shaunak-joshi-4b6158190/

Pinned Loading

  1. Blindness-Detection Blindness-Detection Public

    The dataset I have worked on is a part of an online Kaggle competition- APTOS 2019 Blindness Detection. The goal of this competition is to detect blindness before it happens, organized by APTOS, da…

    Jupyter Notebook 3

  2. Trajectory_Prediction Trajectory_Prediction Public

    Human Trajectory Prediction using Deep Learning Models

    Python 1 1

  3. Salon-Management-System Salon-Management-System Public

    In this project we have created a web application which is easy to access and user friendly. For this application we used MySQL as backend to store the data which is used in the application and for…

    Java

  4. Startup-Funding-Analysis Startup-Funding-Analysis Public

    This is a Mini project , in which analysis ,visulaization and predictive modelling is performed on a startup funding dataset.

    Python

  5. epicCaptions epicCaptions Public

    Next-js app to generate epic captions for all your videos

    JavaScript

  6. Yelp_Sentiment_Analysis Yelp_Sentiment_Analysis Public

    Yelp review dataset sentiment analysis

    Jupyter Notebook