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Prafull Prajapati
Senior Backend Software Engineer specializing in cloud, microservices, and AI systems
The University of Texas at DallasUniversity of Texas at DallasRichardson, TX8 Years ExperienceSenior LevelWorks On-Site
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About
Built an AI-powered job outreach application for his own job search and took it from idea to production use, owning architecture, FastAPI backend, retrieval/generation pipeline, frontend workflow, deployment, and iteration. Especially compelling for teams needing a pragmatic full-stack engineer who can turn LLM-based product ideas into usable, maintainable tools with measurable workflow impact.
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Built and owned an AI web product end-to-end across frontend, backend, data, deployment, and maintenance
Strong full-stack product engineering with FastAPI backend and lightweight web UI
Applied hybrid retrieval and prompt refinement to improve LLM output quality
Modular system design separating parsing, retrieval, and generation for maintainability
Iterative, usage-driven product improvement based on real-world feedback
Improved latency and user experience through async processing and reduced unnecessary backend work
Designed structured API responses to better align frontend state with multi-step backend workflows
Pragmatic testing approach focused on high-risk paths, unit tests, integration tests, and manual QA
Strong debugging and production issue handling using validation, logging, and root-cause analysis
Delivered measurable efficiency gains by reducing a 10–15 minute task to under a minute
Built end-to-end full-stack loan approval workflow (React + Node/Express + Postgres) with KYC upload, reviewer dashboard, and JWT auth
Scalability/performance engineering: Docker containerization, horizontal scaling with load balancing, Redis caching, and DB indexing/query optimization
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