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Testing ideas. Automating everything.
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Testing ideas. Automating everything.
  • Bangalore

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yashwant-das/README.md

Yashwant Das

Senior QA Engineer · AI-Assisted Test Systems · OTT/Media · Fintech · E-commerce

12 years designing quality systems where AI-assisted reasoning works alongside
deterministic validation — not as a replacement for it.


Portfolio  LinkedIn  Medium  Hugging Face



What I work on

Area Detail
Agentic QA systems LLM-assisted reasoning with confidence scoring, deterministic guardrails, and human-in-the-loop checkpoints
Vision-based automation UI understanding from screenshots, multimodal test exploration, visual fallback strategies
Explainable test repair Failure analysis pipelines that produce auditable decision artifacts — when something breaks or gets fixed, there's a clear record of why
OTT/Media quality Playback validation, DRM compliance, cross-device certification across 8+ platforms
CI/CD quality gates Classical automation integrated with AI-assisted validation signals, without turning the pipeline into a black box

Selected work

Project Stack Description
test-playwright-protocol TypeScript, Playwright Smart Playwright Protocol (SPP) — a lightweight, protocol-driven workflow for AI-assisted Playwright automation using Markdown tasks, verification gates, and Page Object best practices.

→ More on the portfolio site


Stack

AI / LLM for QA
LLM Test Generation Confidence Scoring Self-Healing Reasoning Pipelines Vision LLMs Explainability

Test automation
Playwright Selenium Appium Cypress RestAssured Postman WireMock

Languages & frameworks
Python TypeScript Java JavaScript Cucumber PyTest TestNG

OTT / Media QC
HLS MPEG-DASH DRM Widevine DRM FairPlay FFmpeg AWS Elemental Azure DevOps

Performance · Databases · Devices
JMeter Locust PostgreSQL MongoDB Android iOS Fire TV Roku Xbox


How I think about this work

I'm skeptical of QA systems that treat model output as ground truth. My preference is architectures where AI handles the fuzzy work — pattern recognition, failure summarization, test suggestion — while deterministic checks enforce the invariants that actually matter. Every automated decision should be auditable. Claims about AI-assisted testing should be defensible in production, not just in demos.

I write about this on Medium · Models and experiments on Hugging Face


Open to discussions on AI-assisted QA · autonomous test architecture · media quality engineering

Pinned Loading

  1. test-playwright-protocol test-playwright-protocol Public

    Smart Playwright Protocol (SPP) — a lightweight, protocol-driven workflow for AI-assisted Playwright automation using Markdown tasks, verification gates, and Page Object best practices.

    TypeScript

  2. testing-llm-automation-engine testing-llm-automation-engine Public

    LLM + Vision AI QA automation framework for Playwright: generates TypeScript tests from DOM/screenshots, runs E2E flows, and self-heals failures with explainable artifacts.

    Python

  3. genai-mlx-playground genai-mlx-playground Public

    Offline-first local AI toolkit for Apple Silicon using MLX Whisper and Ollama. Audio transcription, meeting summaries, and vision analysis with Moondream & LLaMA 3.2.

    Python

  4. web-selenium-framework web-selenium-framework Public

    Python test automation framework built with pytest and Selenium WebDriver. Features Page Object Model, parallel execution, Allure reports, and multi-environment support.

    Python 1

  5. web-playwright-java-framework web-playwright-java-framework Public

    Java 17 Playwright automation framework using TestNG and YAML-driven multi-environment config with POM architecture, Allure reporting, and GitHub Actions CI.

    Java 1

  6. testing-pytest-framework testing-pytest-framework Public

    Dual-purpose Python framework covering web UI (Selenium) and REST API (Requests) testing with pytest. Includes demos for SauceDemo & Restful-booker.

    Python