Gaurav Vekariya

Automation Engineer - Codiste Pvt. Ltd. - Ahmedabad, India

(2025-10)

Promoted internally to own automation architecture following consistent impact as a QA Engineer.

Architect and own a K6-based API performance automation suite for a blockchain-based bank platform, with real-time Grafana dashboards, cutting manual load testing effort by 60% and surfacing payment verification bottlenecks before release.
Engineer LangSmith-powered evaluation pipelines for an AI-driven hotel booking and management platform, designing prompt test datasets and experiment workflows that turn ad-hoc prompt reviews into structured, reproducible LLM-quality assessments.
Deploy n8n-based lead management automation and email outreach workflows (OpenClaw, Make.com, Pabbly) for the sales pipeline, cutting manual CRM processing time by 90% and enabling real-time lead-qualification triggers.
Deliver production-grade Python web scraping pipelines for a U.S. higher-education data client, achieving >99% data accuracy and on-time delivery across multiple client cycles.
Integrate automation frameworks into the CI/CD pipeline via GitHub Actions across the blockchain and AI product lines, enabling automated test execution on every pull request and cutting release validation time by 35%.
Build AI voice agent, email marketing, and CRM automation for international clients (Australia, Singapore, Cyprus) and internal business operations, unifying customer engagement and lead management across cross-border workflows.

Quality Assurance Engineer - Codiste Pvt. Ltd. - Ahmedabad, India

(2021-11 - 2025-10)

Core QA engineer across AI, Blockchain, EdTech, and Real Estate product lines.

Cut regression cycle time 30–40% by designing and maintaining automation frameworks with Selenium, Playwright, Cypress, Robot Framework, and Appium across 5+ concurrent product lines.
Resolved 15+ critical pre-production defects by executing end-to-end API testing (Postman, Swagger) across REST & GraphQL services, protecting product stability and user experience.
Identified bottlenecks during peak traffic by leading performance and load testing with JMeter and K6, using Grafana for monitoring, and delivered optimization recommendations adopted by engineering.
Verified decentralized applications (dApps) and blockchain platforms across multiple testnets, testing smart contract interactions, wallet integrations, and on-chain data consistency.
Cut pre-test setup time by 45% by streamlining QA workflows using Make.com and Pabbly automation, eliminating repetitive test data preparation.
Improved team delivery consistency across sprint cycles by mentoring junior QA engineers on framework design, test case patterns, and Agile QA processes.
Ensured full traceability from requirements to execution by producing detailed test plans, BRD/FSD analysis, and defect reports, maintaining clear requirement-to-test coverage across releases.

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