Open to opportunities

riddhi User

@riddhiuser1

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Senior AI software engineer building customer-ready AI workflows with React, TypeScript, Node.js, and AWS Bedrock.

United States

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What I'm looking for

I’m looking for a product-focused team where I can ship reliable AI features end-to-end—rapid prototyping, strong security, and measurable customer impact—using modern web stacks and LLM platforms.

I build AI-powered features end-to-end—from discovery through launch—moving fast with prototypes and iterating from real user feedback. In healthcare technology, I owned AI workflows for customer-facing use, integrated AWS Bedrock and LLMs for automated document analysis, and delivered measurable outcomes like a 75% reduction in manual processing time.

I also ship production systems and internal tools that improve operations and performance: I’ve built AI-native SaaS features, created customer support automation that reduced ticket volume by 35%, and delivered agent workflows validated with users and productionized quickly. I partner closely with product and design to turn ambiguous problems into shipped software, using modern web engineering (React/TypeScript/Node.js) and LLM tooling to maintain quality and security.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Software Engineer

Current

Healthcare Technology Solutions

Feb 2025 - Present (1 year 5 months)

Owned AI-powered features from discovery through launch, prototyping quickly and iterating based on user feedback. Built customer-facing AI workflows and integrated AWS Bedrock/LLMs for automated document analysis, reducing manual processing time by 75%.

React TypeScript LLM Document Analysis AI Workflow Development Cursor Claude Code Codex AI Agents

AI Software Engineer / Consultant

Synergo Technologies

Jan 2023 - Sep 2024 (1 year 8 months)

Built AI-powered SaaS applications and shipped features such as intelligent search and automated content generation. Increased development velocity by 40% using Cursor and Claude Code to automate testing/documentation, and reduced deployment time by 60% via scripts and CI/CD pipelines.