SDET · Agentic AI · Performance · DevOps

Engineering confidence into complex systems.

I’m Prashant Singh, an SDET Engineer (Quality) building automation platforms and delivery pipelines across cloud-native applications, AI workflows, APIs, performance, web, and mobile.

Explore systems GitHub
4+ yrsSDET engineering
1000+automated test scripts
14production ML models
6product areas supported

Selected systems / 05

Built to find failure early.

Five current frameworks lead the story. Additional mobile, Java, and full-stack work remains available for a deeper look.

01 · Cloud quality platform GitHub ↗

Aegis Grid

A cloud-native testing platform for Google Online Boutique combining functional browser tests, distributed API load, bounded real-browser load, metrics, dashboards, Kubernetes resources, and CI orchestration.

  • Browser Testing
  • Distributed Load
  • Kubernetes
  • Observability
  • CI/CD
$ run quality-gate ✓ browser suite passed ✓ load budget within target ✓ dashboards provisioned
02 · AI automation GitHub ↗

Test Forge

A scalable Python and Playwright framework with AI-powered locator self-healing, flaky-test detection, and automated GitHub Actions pull requests for proposed locator fixes.

  • Python
  • Playwright
  • Pytest
  • AI/LLM
  • GitHub Actions
$ pytest --self-heal ✓ flaky tests identified ✓ locator fix proposed ✓ pull request created
03 · PerformanceGitHub ↗

Scale Pulse

A Locust-based REST and GraphQL load-testing framework with automated performance budgets and AI-assisted root-cause analysis.

  • Python
  • Locust
  • GraphQL
  • AI Analysis
04 · Hybrid AI automationGitHub ↗

Nexus Automate

A hybrid E2E framework combining deterministic Playwright locators with Stagehand AI fallback actions over one shared CDP browser context.

  • Playwright
  • Stagehand
  • CDP Bridge
  • AI Fallback
  • CI Ready
05 · Authenticated performanceGitHub ↗

LighthousePilot

Automated Lighthouse audits behind login by coordinating Lighthouse CI, Playwright, pytest, and a Flask app through the same Chromium CDP session.

  • Lighthouse CI
  • Playwright
  • Flask
  • Pytest
  • CDP
More frameworks / 04Explore additional projects
06 · Mobile + AndroidGitHub ↗

MobileFusion

Hybrid mobile and native Android automation covering complex gestures, user inputs, and application UI flows.

  • Java
  • Appium
  • Android Studio
07 · Java UI + APIGitHub ↗

SeleniumFlow

A production-grade Web UI and API framework using Page Object Model, layered architecture, parallel execution, and integrated reporting.

  • Java
  • Selenium
  • Web UI
  • API Testing
  • Parallel Execution
08 · Full stackGitHub ↗

Money Disburser

A secure full-stack application with Angular, Spring Boot REST APIs, JWT authentication, Docker, and AWS deployment.

  • Angular
  • Spring Boot
  • Docker
  • AWS
09 · Real-time MERNGitHub ↗

Chatter

A full-stack MERN chat application with authentication, one-to-one messaging, real-time group chat, and group management.

  • React
  • React Bootstrap
  • Express
  • MongoDB
  • Socket.io
Explore all repositories

Experience

Shipping quality at enterprise scale.

From insurance microservices to autonomous SOC workflows, I build quality systems that shorten feedback loops and strengthen production confidence.

Download full resume
2024—Now

SDET · Devo

Noida

Quality and platform engineering across three AI-driven security products: SOAR, UEBA, and Matrix Studio.

  • Built Python automation frameworks covering 1000+ UI and API tests, along with distributed Kubernetes load testing.
  • Validated autonomous LLM workflows and 14 production ML models for accuracy, drift, data quality, and semantic relevance.
  • Engineered GitHub Actions pipelines, GitLab migrations, GitOps delivery with ArgoCD and FluxCD, and ephemeral Kind environments for pull-request testing.
  • Built a reusable DevSecOps pipeline with DefectDojo, Semgrep, NoseyParker, and Nuclei while replacing paid security tooling.
  • Debugged multi-region distributed systems using Jaeger, Tempo, Sentry, OpenObserve, cluster logs, and customer-facing reproductions.
  • Conducted observability and quality-engineering PoCs using Lighthouse, DefectDojo, ReportPortal, InfluxDB, and Grafana to improve test insights and system monitoring.
  • Developed high-throughput data parsers for Malote and Alcohol ingestion pipelines, supporting large-scale security data processing.
  • Migrated projects and CI/CD pipelines from premium GitLab.com to free GitLab.com and later from GitLab to GitHub Actions, preserving delivery workflows while reducing platform costs.
  • Migrated container packages from Nexus to GitLab Container Registry, simplifying artifact management and removing the paid-registry dependency.
  • Handled release engineering through tag creation, environment-specific releases, S3 artifact delivery, Slack notifications, service health checks, and automated log collection.
2021—2024

Associate SDET · Cognizant

Noida

Automation engineering across web, mobile, APIs, and cloud delivery for enterprise insurance systems.

  • Developed and maintained 300+ UI and API automated tests across web, mobile, and microservice-based systems.
  • Automated backend API validation across 15 microservices.
  • Reduced regression time by 50% through reusable API automation.
  • Led API automation initiatives for a team of 5–6 engineers.
  • Built and deployed a full-stack application using Docker, AWS ECR, AWS CodePipeline, and AWS Lambda.

Capabilities

Quality, platform, and delivery engineering.

Tools are selected around the system, delivery path, and production signal—not the other way around.

01

Languages

Python, Java, JavaScript, SQL, Bash/Shell

02

Automation

Playwright, Pytest, Selenium, Cypress, Appium, Rest Assured, Cucumber

03

Performance & Observability

Locust, JMeter, performance budgets, InfluxDB, Grafana, Prometheus, Jaeger, Tempo

04

DevOps & GitOps

Docker, Kubernetes, Helm, Kind, AWS, GitHub Actions, GitLab CI, ArgoCD, FluxCD

05

AI & DevSecOps

DSPy, LiteLLM, LLM-as-a-judge, DefectDojo, Semgrep, NoseyParker, Nuclei

06

Delivery & Debugging

Jenkins, S3 artifacts, Slack automation, shell health checks, Sentry, OpenObserve, ReportPortal

About

Quality engineering is product engineering.

I’m an SDET Engineer (Quality) working at the boundaries between test automation, CI/CD, GitOps, DevSecOps, observability, and product development. My focus is building systems that explain risk clearly, shorten feedback loops, and help teams release with confidence.

Education B.Tech in Computer Science

University of Petroleum and Energy Studies · Uttarakhand, India · 2021

Start a conversation

Have a hard quality problem?

I’m open to conversations about SDET roles, automation architecture, performance engineering, and AI-driven quality systems.

prashantsinghtariyal@gmail.com LinkedIn GitHub