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Nitesha Paatil
Mid-level Software Engineer specializing in backend web applications and APIs
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Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.
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Key Strengths
- Full-stack ownership of analytics and A/B testing platform features
- Backend and data pipeline design for high-volume event processing
- Event-driven architecture using Kafka and RabbitMQ
- Data quality improvement through schema standardization and validation
- AI-integrated fraud monitoring systems for analyst workflows
- LLM reliability evaluation with grounded data, validation checks, and analyst feedback
- Zero-to-one product delivery in ambiguous environments
- Cross-functional stakeholder alignment around measurable outcomes
- Iterative product development with user feedback loops
- Strong observability and scalability mindset
- Improved user engagement by 25%
- Reduced response time by 35%
- Improved fraud detection accuracy by 38%
- Reduced false positives by 30%
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