
Suradhya User
@suradhyauser
Full-stack software engineer at Action Title Research who cut order intake from four minutes to 30 seconds with AI document extraction.
What I'm looking for
At Action Title Research, I built a document extraction pipeline that reduced order intake from a QA-timed four minutes to 30 seconds for 750+ title and settlement professionals. It uses Google Document AI, response validation, and an OpenAI fallback, with a human verification interface before extracted fields reach the database.
I also designed and own a Python reporting API on AWS Lambda and API Gateway. It supports date-range queries, status filtering, and CSV export across 5,000+ record result sets.
Across two production React and TypeScript applications, I raised automated test coverage from 0% to 80% and added SonarQube analysis as a GitHub Actions merge gate. I also break down and assign feature tickets, review pull requests, and coordinate release verification with QA and UAT.
Previously, I developed Java and Spring Boot services for a clinical data platform at Cognizant, and worked on React mapping features and REST APIs at Vinsum Soft. At IBM, I built JavaScript testing pipelines and CRUD functionality backed by PostgreSQL and MongoDB.
Experience
Work history, roles, and key accomplishments
• Built a document extraction service end to end — n8n orchestration through Google Document AI with response validation and an OpenAI fallback path, structured prompts, and defined output schemas — reducing order intake from a QA-timed 4 minutes to 30 seconds for 750+ title and settlement professionals, removing manual data entry from the order creation path entirely
• Raised automated test cov
• Developed interactive map-based React components for live route visualization on a client delivery logistics platform, improving route clarity for delivery partners during active deliveries
• Designed and optimized REST APIs handling geospatial data for route planning and delivery tracking, and wrote Node.js backend services querying SQL databases for mapping data retrieval
• Configured AWS
• Developed 5–6 backend services in Java and Spring Boot for a Life Sciences clinical data platform supporting 100+ internal users analyzing patient data, trial statistics, and trends, using parallel streams and asynchronous processing to improve query response on large patient-record sets
• Raised automated test coverage to 70% across the Java and React code I owned, and manually validated pati
• Built automated testing pipelines in JavaScript against a PostgreSQL backend, establishing the regression baseline for a task management platform
• Developed the platform with full CRUD functionality using PostgreSQL for structured data and MongoDB for document storage
• Wrote UI and API functional test suites and documented application flow across QA and development teams
Education
Degrees, certifications, and relevant coursework
University at Buffalo
Master's degree, Computer Science
2022 - 2023
MVSR Engineering College
Bachelor's, Computer Science and Engineering
2016 - 2020
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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