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Rutujeet Falmare
Mid-level Software Engineer specializing in backend microservices and AI-integrated platforms
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Full-stack engineer with experience spanning AI-powered product features and healthcare fraud detection systems. Has built end-to-end LLM-enabled applications, customer-facing recommendation systems at scale, and operational platforms that improved real-time investigations and flagged over 1,200 high-risk cases quarterly.
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Key Strengths
- Built end-to-end AI-powered email response system with React frontend and Spring Boot backend
- Performance optimization using Redis caching for slow LLM calls
- Customer-facing recommendation feature ownership for a 45,000-user product
- Event-driven systems design with RabbitMQ and Kafka
- Improved fraud detection workflows by reducing false positives through analyst feedback
- Flagged more than 1,200 high-risk fraud cases quarterly
- Hands-on debugging of complex frontend DOM issues causing duplicate rendering and memory leaks
- Optimized API communication with caching and debounced requests
- Database performance tuning through query indexing and concurrency improvements
- Strong collaboration with fraud analysts and operations teams to translate user pain points into system changes
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