Guidewire automation QA consultant with 5 years of test-automation experience designing and scaling JavaScript-based UI/API automation frameworks (TestCafe, Cucumber, Selenium) for PolicyCenter, BillingCenter, and ClaimCenter across 15+ insurance lines. Built and customized GTUI, a data-driven automation product, for a major US Guidewire client, and led a 20-person team delivering a broader automation SaaS platform that cut coding effort by 75% and lifted automation coverage by 80%. Guidewire InsuranceSuite Analyst Associate Certified, with hands-on experience integrating automated suites into CI/CD pipelines, interpreting BDD/Gherkin requirements, and mentoring 150+ engineers across global delivery teams.
Undertook a comprehensive analysis to address significant challenges faced by ACKO Technology and Services Pvt Ltd. Combined both qualitative and quantitative research methodologies - conducted a survey of 200 respondents and 15 individuals for 30 product profiles to gather data on customer experience and pricing sensitivity. Applied advanced analytical techniques such as Linear Regression, Conjoint Analysis and other product analytics tactics to uncover key factors affecting customer satisfaction, pricing sensitivity, and brand recognition in rural areas. Employed Agile, Lean, and Design Thinking methodologies to guide iteration of product features. Brought three years of experience as a Technical Consultant for US insurance companies with knowledge in insurance and digital solutions.
Insurance policies are dense, complex documents that follow domain-specific conventions. This analyzer applies a combination of **regex pattern matching**, **NLTK-based NLP**, and **scikit-learn text
QA teams accumulate vast collections of test plans, runbooks, regression guides, and API documentation. Finding the right information quickly is a constant challenge. **RAG QA Knowledge Base** solves
Automated bug report classification and triage powered by machine learning. Feed it a bug title and description, and it instantly predicts **severity**, **category**, **affected component**, and **sug
When pointed at a live server, the tool executes every generated test, validates each response against the spec, and produces a self-contained HTML compliance report with pass/fail indicators, timing
Flaky tests -- tests that non-deterministically pass or fail without code changes -- silently erode confidence in CI pipelines. They waste developer time, mask real regressions, and slow down release
Writing BDD scenarios by hand is time-consuming and error-prone, especially when dealing with large backlogs. **BDD Scenario Generator** bridges the gap between product requirements and test automatio
Traditional visual regression tools flag _that_ something changed but rarely explain _what_ changed. This project closes that gap. Given a pair of screenshots (baseline vs. current), the pipeline:
**Automatically find alternative selectors when UI automation tests break due to changed selectors.**
The agent executes as a directed graph with five processing nodes and two conditional routing points:
**Transform natural language workflow descriptions into complete, runnable Playwright test scripts.**
A RAG system enabling users to upload documents (PDF, TXT, Markdown) and receive AI-generated answers grounded in their own material with source citations. Uses semantic chunking, FAISS vector search, and Claude for generation.
An automated evaluation framework for RAG chatbot systems built for P&C insurance policy documents. Evaluates answer quality across groundedness, relevance, latency, and retrieval quality using LLM-as-judge and BDD scenarios.
An autonomous AI agent that navigates websites, finds bugs, generates Playwright tests, captures screenshots, and produces structured test reports with severity ratings. Performs performance, accessibility, and responsive layout audits.
An AI-assisted bookmark manager that saves, organizes, and retrieves web pages. Fetches metadata, generates extractive summaries, creates tags, and provides semantic search with TF-IDF and cosine similarity over SQLite with FTS5.
A web application that analyzes resumes against job descriptions to provide ATS compatibility scoring, keyword gap analysis, and AI-powered bullet point rewrites. Supports multiple LLM providers (Anthropic, NVIDIA NIM, OpenAI).