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Dharshini Nithila Muruganithi
Mid-Level Software Engineer specializing in Python backend and React full-stack development
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Backend engineer who built and optimized a high-traffic e-commerce platform in Python/Flask, focusing on scalability and reliability through service decomposition, Redis caching, and Celery-based background processing. Also integrated an AI intent-classification chatbot as a separately deployable inference service on AWS and has hands-on experience designing multi-tenant data isolation strategies in PostgreSQL.
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Key Strengths
- Designed scalable modular backend architecture (service decomposition) for e-commerce
- Performance tuning under high concurrency via indexing, query optimization, and Redis caching
- Reliable background processing with Celery (retries, error logging) to prevent request blocking
- Strong SQLAlchemy/PostgreSQL optimization (indexes, eager loading, connection pooling, transaction consistency)
- Integrated AI chatbot as a separate inference service with REST-based communication and independent scaling
- Implemented multi-tenant data isolation using tenant scoping and JWT-validated tenant context; supported schema-per-tenant
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