I ship pipelines that actually work — and catch what breaks them first.
I'm building toward DevOps full-time. Right now that means running CI/CD for 50+ products at work, writing automation that doesn't require a PhD to maintain, and occasionally finding the security hole nobody else thought to look for. Based in Gujarat, India.
I graduated in Computer Engineering in 2025 and went straight into building
deployment pipelines for real products — not toy projects, actual production
systems across 50+ apps on Windows and Linux servers. That's where I spend
most of my day right now.
My current title is QA Analyst, but the job description didn't quite keep up
with what I ended up doing. I built the CI/CD system, containerised the
environments, and own the release quality end to end. Somewhere along the way
I also spent a few months doing real penetration testing — finding XSS, SQL
injection, broken access control — which gives me a slightly paranoid lens when
I'm writing pipelines. That's not a bad thing.
Long term, I want to be in pure DevOps. More infrastructure, more automation,
more "this thing should deploy itself." I built Sock Shop on Kubernetes
and the Bitbucket CI/CD Showcase to get
closer to that goal outside of work hours. The plan is working.
Adrta Technology · Ahmedabad
RedSand Technology
Cyber Protectors
A.D. Patel Institute of Technology
Graduated with a CGPA of 8.17 / 10. Core CS fundamentals, software engineering, and networking — the foundation for the pipeline and security work I do today.
Things I built to push toward DevOps, sharpen automation skills, or prove a point to myself.
Docker · Kubernetes · Terraform · AWS · CI/CD · Grafana
Deployed a 13-service microservices app (the Weaveworks Sock Shop) completely end to end. Docker containers orchestrated on Kubernetes, infrastructure provisioned with Terraform on AWS, automated CI/CD pipeline, and Grafana dashboards for monitoring. This is the kind of system I want to be building full time.
Built a CI/CD pipeline that deploys an Angular frontend and .NET API to IIS on AWS EC2 via Bitbucket Pipelines. Mirrors the exact production pipeline pattern I use at Adrta — this is the public-facing version of that work.
SourceAn interactive site with 9 real testing scenarios — boundary value analysis, XSS/SQL injection detection, RBAC validation. Built it because "I know how to test" is impossible to prove in an interview without showing the actual thinking. Now I can just send the link.
Code-first API test suite covering LMS and HR Talent Management workflows. Request chaining, environment configs for dev/staging, and wired into GitHub Actions so it runs on every push without anyone having to think about it.
SourceE2E automation suite for a digital signature platform (Zentixs) using Page Object Model. Global authentication setup, environment-driven config across dev/staging/prod. The kind of framework that scales without becoming a mess.
SourceSelenium + Pytest covering DemoQA's practice site — checkboxes, forms, sliders, alerts, frames, tooltips. Modular test structure with an HTML report at the end of every run. Good reference for anyone learning Pytest structuring.
SourceBash script written during the pen testing internship. Captures and logs network traffic cleanly — auto-detects the active interface, handles session naming, rotates logs, and exits safely on Ctrl+C. Small thing, but it saved a lot of time.
SourceChrome extension that fetches comments from any YouTube video and runs them through a TensorFlow.js toxicity model in real time. Toxic vs. non-toxic breakdown right in the popup — no server, no API calls, runs entirely in the browser.
SourcePenetration Testing Notes
Structured guide to ethical hacking — network scanning, vulnerability assessment, exploitation. Exact tools and methods used during the security internship. Kali Linux · Nmap · Metasploit · Burp Suite.
Python · ScrapingScrape Datain
Python GUI tool that scrapes business details from YellowPages.in using Selenium with threading so multiple pages run in parallel. Real-time status logging and CSV export.
ML · ClassificationEmail Spam Detection
Spam classifier built with scikit-learn. Tkinter GUI, timestamped prediction logs, and a confusion matrix to evaluate model performance.
I'm actively looking for DevOps, platform engineering, and CI/CD-focused roles. QA + security background is part of the deal — I just want to spend more time on the infrastructure side. If that sounds useful to your team, reach out.