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PAVAN VARMA PENMETHSA
Mid-level Machine Learning Engineer specializing in LLM agents, RAG, and MLOps
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Built a production AI-driven contract/document extraction system combining OCR, normalization, and LLM schema-guided extraction, orchestrated with PySpark and Azure Data Factory and loaded into PostgreSQL for analytics. Emphasizes reliability at scale—using strict JSON schemas, confidence scoring, targeted retries, and multi-layer validation to control hallucinations while processing thousands of PDFs per hour—and partners closely with non-technical business teams to refine fields and deliver usable dashboards.
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Key Strengths
- Built and deployed production LLM/OCR document extraction pipeline end-to-end
- Scales high-throughput PDF processing via PySpark parallelization and orchestration
- Improves LLM reliability with strict schemas, confidence scoring, targeted retries, and guardrails
- Strong data quality controls (rule-based, cross-field, referential validation) to reduce hallucinations
- Pragmatic model/retrieval/prompt selection based on accuracy, latency, determinism, and operational constraints
- Designs measurable evaluation frameworks (accuracy, latency, cost/run, error rates) with unit/integration/scenario testing
- Effective collaboration with non-technical stakeholders to translate requirements into extraction schemas and dashboards
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