Follow the data
Validate behaviour across UI, APIs, databases, and connected systems.
I’m Prathamesh Patil — a Software Quality Assurance Engineer with
4+ years of experience testing enterprise desktop .exe,
web, and mobile systems across Intelligent Transportation Systems (ITS) and B2B SaaS.
My work spans desktop dispatch software, real-time passenger information, and enterprise web and mobile applications. I combine hands-on functional testing with integration checks, backend data validation, AI-assisted code review, and collaboration with developers and product teams.
I care about finding the failures that happen between components: the data that doesn't sync, the edge case a happy path misses, and the release risk hidden in a code change. My approach connects testing discipline with a practical product mindset.
Validate behaviour across UI, APIs, databases, and connected systems.
Use impact analysis and edge-case thinking before execution begins.
Partner with engineering and product to resolve issues efficiently.
Methods, AI workflows, tools, infrastructure, code, and data validation used across enterprise applications.
Manual, API, Functional, Regression, Sanity, Performance, Security, Usability, Exploratory, Mobile, Desktop (.exe), SIT, E2E, Risk-Based Testing.
Coverage · Reliability · RiskChatGPT, Claude, Gemini, Cursor, GitHub Copilot, AI-Assisted PR Code Review, AI-Driven Test Generation & Log Analysis.
Review · Generate · AnalyzePostman, Playwright, CI/CD, JIRA, Git, GitHub, TestRail, Datadog, SSMS (SQL Server), SQLCMD, mRemoteNG (Multi-VMs).
Automation · Delivery · DebuggingPython, JavaScript, MySQL, MS SQL Server, backend database validation, and schema checking.
Data integrity · VerificationCertified in Product Management by the International Institute of Business Analysis (IIBA), connecting user requirements, backlog grooming, and release goals.
Translating requirements into clear UAC and validation paths.
Prioritizing defects based on user impact and business risk.
Collaborating with PMs, developers, and enterprise clients.
Roles, delivery impact, and project experience across transit technology and enterprise SaaS.
Hitachi Rail · contracted via Braves Technologies, Pune, India
.exe Computer-Aided
Dispatch application), BusTime (real-time passenger
information web app), and connected transit modules, achieving a
98% defect-free release rate.
.exe clients alongside web
environments to verify multi-project deployments and live application
interactions, improving test execution efficiency by 35%.
.exe client and validated live data synchronization with web
modules and passenger displays with 99.9% accuracy.
24/7 Software · Pune, India
Enterprise systems, transit modules, and an independent web platform—each with a different quality challenge.
Created and launched www.ecospeedtest.com—it measures download and upload speeds and estimates the associated carbon footprint of internet use, including simple equivalents like trees needed to offset emissions, so users understand both performance and environmental impact.
End-to-end multi-VM integration and real-time validation linking thick-client Windows desktop dispatch executables with live passenger web views at Hitachi Rail.
Computerized maintenance management system testing across mobile and web with automated Postman API validation suites.
Complete lifecycle test coverage for incident creation, escalation, and resolution across web and mobile platforms.
Validated mobile app functionality including GPS tracking, secure authentication, and real-time sync to ensure full patrol coverage and reporting accuracy.
Selected outcomes from AI-assisted review, transit integration, API automation, and product-aligned QA.
Spearheaded AI-assisted PR code review workflows to proactively identify architectural risk areas, cutting post-deployment integration bugs by 45%.
Orchestrated multi-VM integration testing workflows for enterprise transit releases at Hitachi Rail, cutting cross-application regression bottlenecks by 35%.
Designed and deployed Postman-based API automation suite that reduced overall regression effort by 60%.
Consistently aligned QA efforts with evolving product vision, resulting in fewer change-related bugs and smoother deployments.
Computer science foundations, product management, and practical testing workshops.
Lovely Professional University, Punjab, India
International Institute of Business Analysis (IIBA)
Professional Technical Training
Looking for a QA engineer or want to discuss a product challenge? Send a message and I’ll get back to you.