Open to Senior QA / SDET roles

Hi, I’m Vidhya. I help teams ship reliable systems by measuring what actually matters.

Senior QA / SDET with 7+ years of experience designing test strategy, building automation frameworks, strengthening CI reliability, and applying performance engineering to real-world systems.

Automation Frameworks CI/CD Quality Gates API + UI Testing Performance Mindset
Contact me View resume Career Journey →
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Senior QA / SDET | Quality Engineering

Vidhya Mannathuparambil

Iowa State University • Computer Engineering

Experience

7+ yrs

Focus

Quality

Specialty

Automation + CI

Strength

Performance-driven thinking

“Build reliable systems, measure the right signals, and ship with confidence.”

Find me on

GitHub LinkedIn Email

Core Expertise

Playwright
Pytest
Python
Selenium
Postman
CI/CD
CI/CD
AWS

Quality Engineering Expertise

Areas where I’ve built and applied testing, automation, and quality systems across real production software.

Test Automation Engineering

Designing stable, maintainable automation frameworks that scale with product complexity.

  • UI automation with Playwright and Selenium
  • Reusable fixtures, selectors, and test architecture
  • Flaky-test detection and stability improvements
  • API automation integrated into regression pipelines

CI/CD & Quality Gates

Ensuring test results provide fast, trustworthy feedback to engineering teams.

  • CI integration with Jenkins and Azure DevOps
  • Fail-fast quality gates for critical workflows
  • Parallel execution and smart retries
  • Improved signal-to-noise in automated test runs

API & Backend Testing

Validating backend correctness, contracts, and edge cases beyond UI coverage.

  • API test suites with PyTest and REST clients
  • Authentication, negative paths, and edge cases
  • Schema and contract validation
  • Regression safety for backend changes

Performance & Reliability Testing

Assessing system behavior under load and identifying scalability risks early.

  • Load and stress testing strategies
  • Baseline performance measurements
  • Regression detection for latency and throughput
  • Clear reporting for engineering decisions

How I Think About Quality

I view quality engineering as a shared responsibility. My focus is on building systems that give teams confidence to ship — through automation, clear signals, and continuous feedback rather than manual effort alone.

Career Journey

A quick view of my experience and education—highlighting the work I’ve owned and the impact delivered.

Experience

7+ years

  1. May 2025 – Aug 2025

    Test Automation Intern — ABB R&D

    Built automation and CI improvements to increase release confidence.

    • Playwright-based UI automation + reporting
    • CI/CD integration (Azure DevOps / Jenkins)
    • Regression speed + stability improvements

  2. August 2021 – July 2024

    Associate Lead Automation Engineer — KeyValue Software Systems

    Owned automation strategy and improved test reliability for large product surfaces.

    • Framework design + maintenance across teams
    • Reduced flaky tests and improved CI signal
    • Partnered with dev + product to ship faster

  3. June 2017 – August 2021

    Senior Software Development Engineer in Test — Envestnet

    Built and scaled automation coverage, test plans, and release validation.

    • Test planning + automation for critical workflows
    • API and UI validation for production systems
    • Cross-functional collaboration across time zones

Education

Download Resume

  1. August 2024 – May 2026

    Iowa State University, USA — Master’s

    Computer Engineering

    • Distributed Systems, Advanced Data Structures, Information System Security
    • Research/Projects: LLMs for storage systems code optimisation

  2. April 2017

    Cochin University of Science and Technology, India - Bachelors in Technology

    Electronics and Communication Engineering

    • Leadership: IEEE | Technology Bussiness Incubator | National Service Scheme
    • Built strong foundations in computer engineering

How I Think About Performance Engineering

One area I’ve consistently been drawn to in my career is performance engineering — not just measuring speed, but understanding how systems behave under real users, real traffic, and real-world conditions.

Over time, I’ve learned that teams often miss performance issues not because systems are slow, but because they’re measuring the wrong signals.

Beyond average response time

Tail latency (p95/p99), throughput, and concurrency reveal what your worst-case users actually experience.

Stress exposes truth

Error rates under load, saturation points, and recovery time often uncover deeper architectural weaknesses.

User perception matters

Metrics like TTFB and time-to-interaction reflect what users feel, not just what logs report.

Reliability over raw speed

Performance is ultimately about predictability, resilience, and graceful recovery — not just fast responses.

Read the full post on LinkedIn →

Recommendations

Feedback from managers and mentors I’ve worked closely with, highlighting ownership, automation quality, and collaboration.

“
Vidhya demonstrated strong ownership and clarity from day one. She built reliable automation and proactively improved our framework, making it more efficient and maintainable. Her work had a clear impact on team productivity, and she collaborated effectively across teams.

Vikas Agrawal

R&D Technology Manager, ABB

Managed Vidhya directly

View full recommendation on LinkedIn →
“
Vidhya is an exceptional test engineer with a strong grasp of testing methodologies and a sharp eye for detail. She consistently delivered high-quality results and collaborated closely with developers to address issues effectively.

Mahesh Shenoy

Key Account Director, InApp

Mentor to Vidhya

View full recommendation on LinkedIn →

Community & Leadership

Beyond my professional role, I actively contribute to technical and mentoring communities focused on engineering excellence, inclusion, and knowledge sharing.

IEEE

IEEE logo

Contributed to technical and professional initiatives, supporting student mentoring, workshops, and engineering knowledge exchange.

Focus: technical mentorship • leadership • community building

Anita.org

Anita.org logo

Supported initiatives that advance women in technology through networking, mentorship, and career development programs.

Focus: inclusion • professional growth • leadership development

Girls Who Code

Girls Who Code logo

Mentored students in building foundational programming skills and confidence in technology.

Focus: early STEM education • mentorship • impact

Google Developer Group

Google Developer Group logo

Participated in developer meetups and technical discussions focused on modern software practices.

Focus: developer learning • technical discussions • community

Why This Matters

I believe strong engineers grow through shared learning and mentorship. Community involvement helps me stay grounded, give back, and continuously improve as both an engineer and a leader.

Selected Work

A curated set of projects spanning AI apps, full-stack systems, and applied RAG experiments.

View GitHub →
AI / RAG Experiment

LLM RAG Chatbot

Built an end-to-end Retrieval-Augmented Generation pipeline: load content, chunk + embed, store vectors, and retrieve context for LLM answers.

  • ChromaDB as the vector database + OpenAI as the LLM
  • LangChain loaders + RecursiveCharacterTextSplitter for chunking/overlap
  • OpenAI embeddings → vector store → retrieval → generation pipeline
GitHub
AI App / Cloud

AI Travel Planner

AI-powered web app that recommends travel destinations and generates personalized trip plans from user preferences.

  • Authentication: AWS Cognito
  • AI generation: Amazon Bedrock
  • GraphQL API: AWS AppSync + responsive UI with React + Tailwind
GitHub
Full-Stack / Next.js

Calendar Scheduler (Calendly-style)

Full-stack meeting scheduler inspired by Calendly: create availability, share booking links, and manage meetings with real-time updates.

  • Next.js 15 (App Router + Server Actions) + Tailwind UI
  • Auth with Clerk; event types (15/30/60 min) + buffers
  • PostgreSQL via Prisma + deployed on Vercel
GitHub
System Design / App

EV Charging System

EV charging station booking system project (repo includes an “EV-charge-station-booking-system-main” module). Great for showcasing end-to-end flows and system thinking.

  • Structured as a standalone project module inside the repo
  • Ideal to demo: booking flows, validations, and user journeys
  • Use this as a “case study” project with screenshots + flow diagram
GitHub
Vidhya Mannathuparambil

Vidhya Mannathuparambil

Senior QA / SDET with a passion for building reliable systems and measuring the right signals.

Available to discuss exciting projects, collaboration opportunities, or simply connect over a coffee chat.

Let’s build something meaningful together.

Email me Connect on LinkedIn

© Vidhya MannathuParambil