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Sravya Chunduri
Mid-level AI/ML Engineer specializing in LLM, NLP, and MLOps
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About
AI/ML Engineer with 3+ years of experience spanning RAG pipelines, MLOps, large-scale data workflow automation, and resilient Playwright-based UI automation. At Black Hawk Network and Wipro, they describe shipping production systems with strong observability and compliance controls, including reducing flaky automation failures from 30% to under 2% and automating 3+ TB/day reconciliation workflows.
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Key Strengths
- End-to-end delivery of FastAPI-based RAG pipelines
- Production reliability engineering for LLM integrations
- Strong testing and validation discipline with pytest, Pydantic, and Great Expectations
- Observability and monitoring with Prometheus, Grafana, and MLflow
- Advanced Playwright automation for dynamic real-time dashboards
- Hardening flaky auth/session-heavy automation in real environments
- Root-cause debugging using Playwright Traces
- Workflow automation of ambiguous manual processes
- Data engineering at large scale with 3+ TB daily reconciliation workloads
- Regulated data process design with HIPAA/GDPR awareness
- Measurable reliability improvements: reduced automation failures from 30% to under 2%
- Performance improvement: cut execution time by 40%
- High-quality delivery outcomes: 99.9% data accuracy and 100% audit pass rate
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