Rahul Kashyap

Built an intent-aware enquiry form powered by BigQuery, enabling real-time personalization. Improved user engagement and data capture efficiency by 25%. Built dynamic modules including interlinking tour and packages widgets and intent-based lead gen forms, boosting user engagement and lead conversion. Enhanced analytics dashboard using BigQuery by adding key performance metrics, improving decision-making efficiency. Designed and launched a performance-based seller rewards system, increasing engagement by 20-25%.

Architected and scaled Loan Management System using Ruby on Rails, reducing processing time by 40% and handling $350M+ in disbursements across 7 million+ customers. Established comprehensive testing infrastructure with RSpec and Capybara, improving test coverage from 0% to 90%+, reducing regression bugs by 75% and enabling confident continuous deployment. Designed and implemented real-time credit scoring engine with grid-based decisioning using RabbitMQ, resulting in 40% reduction in manual reviews. Built an LMS dashboard with cron, Redis and Sidekiq, reducing data collection from 24 hours to 2 minutes. Implemented 20+ APIs for the loan lifecycle, serving 7 million customers and expected to serve over 20 million. Automated contract generation with real-time APIs, cutting processing time from hours to seconds and managing 50K+ monthly contracts. Optimized asset delivery pipeline from CDN to bundled assets, reducing deployment time from 6-7 hours to <5 seconds and improving team velocity by 85%. Managed and trained 10+ interns for full-time roles.

Completed Java full-stack development training, gaining proficiency in company tools and frameworks. Successfully transitioned into a full-time role, quickly adapting to the company's development environment.