Mridul Sahu

Detail-obsessed QA & Support Engineer with 3+ years of continuous experience maximizing system reliability across fast-moving production SaaS applications, backend APIs, and data-heavy infrastructure. Proven expertise in writing test automation frameworks, evaluating asynchronous backend pipelines, and triaging complex software behavior issues. Highly skilled at diagnosing system anomalies through structured log analysis, tracking down edge cases in multi-tier applications, and handling production support operations with clear engineering escalation protocols.

Strong background in Computer Science paired with hands-on experience leveraging LLMs to evaluate prompt regressions and generative workflows.

QA & Data QA Engineer - Fluid.live Solutions Pvt. Ltd. - Pune, India

(2023-02)

• Own end-to-end QA execution and production monitoring across core backend APIs and asynchronous pipeline layers, writing robust end-to-end integration test suites to validate complex application logic.
• Build, maintain, and execute regression testing suites using Python and Java frameworks, safeguarding business-critical backend features, workflows, and third-party integrations ahead of daily production releases.
• Design and execute targeted testing methodologies for AI-assisted systems, leveraging LLMs (ChatGPT, Claude, Gemini) to map complex functional edge cases, evaluate prompt changes, and identify behavioral anomalies.
• Perform robust backend data validation using complex SQL queries (multi-table joins, window functions) via Metabase to audit asynchronous task processing queues and ensure 100% data consistency across records.
• Validate real-time microservices and REST API layers using Postman, meticulously analyzing JSON request/response payloads, HTTP status codes, error codes, and backend edge-case handling.
• Isolate, track, and independently triage production software defects within Jira and Linear; debug application states by analyzing structured logs, stack traces, and system metrics using Browser DevTools and terminal outputs.
• Own production support tracking and operations; directly interface with technical teams to reproduce client-reported system errors, construct reproducible test cases, and establish clear operational runbooks.

Bachelor of Technology (B.Tech) - Computer Science & Engineering - Shri Shankaracharya Engineering College (CSVTU) (2018 - 2021)