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Cover image for SPECTR – Centralized Real Estate
SPECTR – Centralized Real Estate Data Intelligence Platform SPECTR is a centralized data repository platform developed for Stewart Title to unify and provide intelligent access to large-scale property and title data across the United States. It aggregates over 25 million Owner and Lender title policies along with comprehensive data on 140+ million parcels, covering nearly the entire U.S. population. The platform enables users to efficiently access, analyze, and retrieve critical real estate information including property characteristics, ownership details, addresses, and title policy records. By consolidating fragmented datasets into a single system, SPECTR empowers teams to perform faster research, gain deeper insights, and make more informed, data-driven decisions. Core Features: • Centralized repository for 25M+ title policies and 140M+ property records. • Property data lookup including ownership, address, and parcel details. • Physical characteristics and attributes of real estate assets. • Owner and lender title policy information access. • Unified search and data retrieval system. • High-scale data aggregation and management. • Support for real estate research and decision-making workflows. • Enhanced data visibility across U.S. property records. My Role: • Validated data integrity across 25M+ title policies and 140M+ property records using Snowflake, ensuring accuracy within a platform covering 99.9% of the U.S. population. • Performed API and database validation to verify accurate data synchronization and retrieval across large-scale property and title datasets. • Executed functional, regression, integration, and data validation testing for property search, ownership records, and title policy workflows. • Collaborated with Agile Scrum teams to identify and resolve defects early, improving release quality and platform reliability. • Delivered Sprint Review demonstrations to stakeholders, showcasing completed features and validating business requirements before release.
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Cover image for ClixCreative – AI-Powered Event Management
ClixCreative – AI-Powered Event Management Platform QA | Multi-Portal | NDA Protected Overview: Multi-portal platform connecting event organizers, photographers, videographers, attendees with AI face recognition for media discovery. 4 portals: Organizer, Creator, Attendee, Admin. My Role: Sole QA Engineer (handled 4 concurrent products at Analytica Data) Work I Did: Managed complete QA lifecycle independently for 4 portals AI Features: Tested face recognition accuracy - upload 100 event photos, AI groups by person, attendee searches own photos by selfie. Validated AI photo search precision/recall Event Management: Event creation, invitation, creator assignment (photo/video), schedule, budget Media Workflows: Upload 500+ photos/videos (2GB), processing, AI tagging, attendee access control, download with watermark, payment for premium downloads Payment testing: Event package pricing, creator payout, attendee purchase - Stripe integration validation RBAC: Organizer only sees own events, Creator only assigned events, Attendee only own media Built comprehensive regression suites - 120+ test cases maintained Production validation before releases Impact: Stable releases while handling 4 products in parallel, maintained high coverage regression Tools: Manual Testing, Regression, Jira, Chrome DevTools, BrowserStack Domain: Event Management + AI/Media Platform
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Cover image for FAB Glass & Mirror –
FAB Glass & Mirror – Custom Glass & Mirror E-commerce Platform QA [USA] | Feb 2022 – Dec 2023 | NDA Protected Overview: US e-commerce since 2011 - custom cut glass, tempered glass, shower doors, mirrors, table tops, railings, acrylic - nationwide shipping, hundreds of thousands customers. Work I Did: Tested complex custom quoting engine: pricing by dimensions (width/height), glass type, thickness, edgework (polished/beveled), add-ons (holes, notches) Validated measurement validation: min/max limits, aspect ratio, boundary conditions - found bug allowing 0.1 inch glass Full ordering workflow: configurator > cart > checkout (shipping calculation by size/weight) > payment > order tracking Found 50+ defects in pricing algorithms - e.g., tempered glass 0.5" pricing calculated as 0.25", shower door hinge cutout fee missing UI/UX validation: configurator usability, measurement input error messages, mobile responsiveness Regression after each release - prevented re-introduction of pricing bugs Impact: Improved pricing accuracy to 99.8%, reduced incorrect quotes by 90% Tools: Manual Testing, Regression, UI/UX Validation Domain: E-commerce Custom Manufacturing | Market: USA
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