Work Experience

• Spearheaded development of an AI-powered event landing page builder using FlutterFlow and structured extraction APIs, reducing manual content creation time by 80% and enabling 2–3x faster publishing throughput.

• Architected a scalable image management system using custom Flutter widgets and Supabase storage, improving asset reliability from 60% → 95% and reducing rendering failures by 70%.

• Engineered centralized state management architecture for images, UI components, and dynamic styling systems, reducing UI inconsistencies by 70% and enabling real-time component synchronization.

• Optimized backend resilience by building a FastAPI-based retry proxy with exponential backoff, increasing API success rates by 35% under high-load conditions.

• Implemented AI-driven dynamic color systems and reusable UI components, reducing design customization effort by 60% while improving design consistency across generated pages.

• Collaborated directly with CTO and AI engineering teams in an Agile environment to deliver a production-ready AI feature integrated into the May 2026 platform launch.

• Led end-to-end development of a digital concussion recovery platform adopted across 10+ universities, supporting 1,000+ student-athletes through structured recovery journeys and clinical decision-support systems.

• Architected and deployed an AI-powered chatbot assistant enabling real-time symptom-based guidance, reducing manual support queries by 40% and improving response times to under 5 seconds.

• Designed student-centric recovery-stage workflows using conditional logic and behavioral UX systems, increasing engagement by 35% and improving adherence to recovery protocols.

• Optimized UX flows, onboarding journeys, and conversion funnels, increasing demo bookings by 20–25% and improving institutional adoption.

• Collaborated closely with healthcare professionals and stakeholders to translate concussion recovery protocols into scalable digital workflows.

• Engineered modular React frontend architecture, reducing feature development and customization time by 30% across university deployments.

• Contributed to RAJ-SIMS (Rajasthan Supply & Inventory Management System), a large-scale government supply chain platform used across 79+ departments.

• Developed responsive and modular UI components using React.js and Material UI, improving workflow efficiency and increasing task completion speed by approximately 30%.

• Integrated frontend systems with .NET Core APIs and Oracle 19c database infrastructure, enabling seamless real-time procurement and inventory workflows.

• Implemented WebSocket-based live updates for inventory tracking and demand forecasting, reducing operational data latency by approximately 40%.

• Optimized frontend performance through lazy loading, caching strategies, and code splitting, reducing page load times by around 35%.

• Built supply-chain business logic modules including purchase-order mapping systems, reducing inventory tracking inconsistencies by approximately 25%.

• Built API-first logistics routing modules using geospatial datasets, reducing delivery latency by 54%.

• Developed containerized authentication and monitoring microservices for scalable deployment environments.

• Automated CI/CD workflows and deployment pipelines, improving deployment stability by approximately 40%.

• Delivered 5+ full-stack web platforms for educational institutions and businesses, improving user engagement by 20–30%.

• Designed and developed responsive portfolio websites, business platforms, and SEO-focused landing pages helping clients improve online visibility and inbound lead generation.

• Built e-commerce platforms with secure Stripe and Razorpay payment integrations enabling scalable digital commerce systems.

• Handled complete development lifecycle including requirement gathering, development, deployment, optimization, and iterative improvements.

• Optimized frontend rendering and backend API interactions, reducing application load times by 30–40%.