Prince Parmar Singh User

I’m a software developer intern focused on building production-ready AI systems and reliable backend workflows. I enjoy turning complex inputs into structured outcomes that teams can use immediately.

In my current role, I built an end-to-end AI-driven TPA pre-authorization system that extracts and maps patient data from multi-document inputs. I also designed a real-time mobile–desktop workflow with QR-based session handshake and WebSocket sync, enabling live scanning, parallel extraction, MRD validation, and seamless multi-step claim processing.

Previously, I worked as a GEN AI intern where I integrated Razorpay and Delhivery APIs into production systems to improve backend reliability. I also implemented a RAG chatbot that answers prospective-client questions using internal documentation and user engagement data.

Through my projects, I’ve continued refining AI pipelines and automation—like an interview simulator using FastAPI, Whisper, and LLMs, and an AutoInbox Gmail automation system that reduces manual effort by 80–90%. I bring a hands-on, quality-first mindset, with a bias toward measurable impact and smooth user experiences.