Rudra Pratap
Singh Chouhan
Building products that scale — healthcare platforms, real-time systems, and AI-powered workflows. Currently at Raaz.
I build things end-to-end. From React Native apps to serverless backends to AI engines that replace manual workflows.
CS grad from BITS Pilani, currently a Product Engineer at Raaz where I lead the full stack for a healthcare platform serving 55,000+ users. Before that, I shipped browser-based ML at GJ-Map and fraud detection systems at SuperPe.
Outside of code — I play competitive Ultimate Frisbee. Gold medalist at the National Open Championship Series 2025 and National College Championship 2023.
Education
B.E. Computer Science
BITS Pilani, South Goa, Goa
2023
Based in
Bangalore, India
Experience
3+ years
“Ship fast, fix faster” — I care more about getting things into users' hands than writing perfect abstractions.
Jan 2025 - Present
Raaz
Bangalore, India
Product Engineer @ Raaz
- Led development of a healthcare platform end-to-end: React Native app (Expo), Express/TypeScript API, Supabase database, and 10+ Lambda microservices, serving 55,000+ users.
- Integrated Razorpay, Shopify, Prozo WMS, and Proship into a unified order pipeline with idempotent webhook handlers and Redis-backed queues.
- Designed a real-time call center system using Socket.io, DynamoDB, and SSE streaming; connected Tata Tele telephony with Zoho CRM to automate tracking across 200,000+ monthly calls.
- Developed an AI-powered clinical assessment engine via Claude and Groq APIs, cutting consultation prep time by 70%.
- Increased lead capture by 10% and user retention by 25% with a notification system using smart scheduling, behavioral nudges, and cohort-based targeting.
May 2024 - Oct 2024
GJ-Map Solutions
Udaipur, India
Software Engineer @ GJ-Map Solutions
- Built a browser-based object detection system for GIS imagery by compiling C++ inference kernels to WebAssembly and integrating ONNX Runtime with Meta's Segment Anything Model, reducing detection time by 40%.
- Delivered 6 production React applications used by government and enterprise GIS teams, built on ArcGIS SDK with real-time map layers and spatial queries.
- Designed and built the company's Node.js + SQL backend from scratch, including automated geospatial data ingestion pipelines.
Jul 2022 - Dec 2022
SuperPe
Bangalore, India
Software Engineering Intern @ SuperPe
- Built a fraud detection dashboard in React that flagged anomalous transactions in real time, reducing fraud losses by 50%.
- Developed user onboarding and payment checkout flows in React Native, including Geolocation-based service gating, serving 50,000+ daily transactions.
Featured Project
Raaz Healthcare Platform
End-to-end healthcare platform serving 55,000+ users. React Native app, Express/TypeScript API, Supabase database, 10+ Lambda microservices, integrated payment and logistics pipeline with Razorpay, Shopify, and warehouse management systems.
Featured Project
AI Clinical Assessment Engine
AI-powered clinical assessment system with weighted scoring, branching logic, and severity analysis. Generates personalized PDF reports and diet charts via Claude and Groq APIs, replacing manual doctor workflows and cutting consultation prep time by 70%.
Browser-Based GIS Object Detection
Compiled C++ inference kernels to WebAssembly and integrated ONNX Runtime with Meta's Segment Anything Model for browser-based object detection on GIS imagery. Reduced detection time by 40% and eliminated server-side processing entirely.
Real-Time Call Center System
Real-time call center infrastructure using Socket.io, DynamoDB, and SSE streaming. Connected Tata Tele telephony with Zoho CRM to automate appointment tracking and lead rescheduling across 200,000+ monthly calls.
Fraud Detection Dashboard
Real-time fraud detection dashboard that flagged anomalous transactions before settlement, enabling support agents to intervene immediately. Reduced fraud losses by 50% at SuperPe.
Enterprise GIS Applications
6 production React applications for government and enterprise GIS teams. Built on ArcGIS SDK with real-time map layers, spatial queries, and custom data visualization dashboards.
Languages
Frontend
Backend
Cloud & DevOps
AI / ML