Hi, I’m Anirudh Patil.

What I’m good at

I build reliable, observable, and automated systems: AI/RAG assistants, end-to-end QA (API/UI/ETL), and Cloud Run deployments with CI/CD.

• Designs AI agents and RAG systems for private knowledge bases (LangChain/OpenAI/FAISS).
• Builds unified automation frameworks (API/UI/ETL) with Pytest, Playwright, Pandas/Spark.
• Ships cloud-native services on GCP Cloud Run with Dockerized pipelines and CI/CD.
• Architects MicroSaaS MVPs with auth/billing-ready foundations and rapid AI-powered iteration.
• Champions QA discipline: contract testing, synthetic data, and observability baked into releases.

1. Aug 2022 — Present

   Senior QA Engineer — Sequoia Group

   ETL validation, synthetic data, QA leadership

   Own QA strategy for ETL pipelines, build synthetic data tooling, mentor 4 engineers, and integrate validation into CI/CD.

2. Dec 2019 — Aug 2022

   Senior QA Engineer — Huawei Technologies

   SQL migration QA, UI/API/ETL coverage

   Automated SQL extraction/conversion validation to GaussDB, improved regression speed, and enforced synchronised UI/API/DB checks.

3. Jun 2018 — Dec 2019

   Solution Engineer — Datagres

   Containerised solutions & storage performance

   Architected Docker/K8s deployments, tested NoSQL/Oracle integrations, and improved resource utilisation.

4. Mar 2013 — Feb 2018

   Senior Project Engineer — Wipro

   Enterprise storage QA & performance

   Delivered storage solution validations (HP 3PAR, NetApp, IBM), reducing post-deployment issues by 40% and earning multiple awards.