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Akanksha Kummari
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and production ML systems
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About
Backend/founding-engineer-style builder who designed and evolved a near-real-time customer churn prediction platform (FastAPI + AWS SageMaker/Lambda + Redis + MLflow) to enable real-time retention actions, reporting ~18% churn reduction. Demonstrates strong production engineering in secure API design, incremental migrations with data integrity safeguards, and robustness improvements in async pipelines (idempotency, DLQs, retry visibility).
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Key Strengths
- Designed near-real-time churn prediction platform with low-latency, reliable architecture
- Delivered measurable business impact: ~18% churn reduction via real-time personalized retention actions
- Production ML platform engineering (model serving, versioning/rollback with MLflow, AWS deployment)
- API reliability and frontend enablement via strict validation (Pydantic) and versioned, predictable contracts (OpenAPI)
- Security-by-default approach (JWT/OAuth, least privilege, rate limiting, secrets management, RLS)
- Led low-risk backend migration using parallel run, feature flags, incremental rollout, and data integrity validation (checksums/shadow reads/backfills)
- Identified and mitigated async retry/partial-failure edge cases using idempotency keys, tighter transactions, DLQs, and observability
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