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Akanksha Agrawal
Mid-Level Full-Stack Software Engineer specializing in event-driven data platforms
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Backend engineer with SAP experience modernizing a legacy Flask/PostgreSQL product master data platform into a modular, stateless, containerized service with Kafka-based background processing and improved observability. Also has hands-on academic/side-project experience operationalizing ML (NLP retrieval with TF-IDF/BERT via FastAPI and CV lane-edge detection inference APIs using PyTorch).
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Key Strengths
- Modernized legacy Flask backend into modular, layered architecture (blueprints + repository layer)
- Designed stateless services for containerized deployment (Docker/Kubernetes)
- Improved API responsiveness by offloading heavy validation to Kafka-backed background workers
- Strong PostgreSQL/SQLAlchemy performance tuning (indexes, loading strategies, N+1 fixes, bulk inserts, lock contention reduction)
- Used materialized views to stabilize read performance during peak traffic
- Built robust data validation with Pydantic-style models, reducing data errors/support tickets
- Implemented structured error responses and observability (logging + Grafana dashboards)
- Multi-tenant data isolation design (tenant propagation, schema separation, row-level filtering, Kafka event validation)
- End-to-end ML pipeline integration and lightweight model-serving APIs (NLP retrieval + CV inference)
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