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KARISHMA PAPPU
Junior AI/ML Engineer specializing in machine learning and data pipelines
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Built and productionized an LLM-based system that summarizes large volumes of unstructured content (customer feedback/internal docs) to reduce manual analysis and surface decision-ready insights. Brings strong reliability practices—prompt/schema constraints, validation checks, orchestration with Airflow/Databricks, and rigorous component + end-to-end testing—plus experience partnering closely with business stakeholders to drive adoption.
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Key Strengths
- Built and deployed an LLM system to summarize large volumes of unstructured business data
- Improved LLM output consistency via prompt iteration, enforced output schemas, and validation checks
- Production workflow orchestration experience with Airflow and Databricks Jobs
- Designs modular AI workflows with clear success criteria and failure-mode thinking
- Strong testing discipline: component tests, end-to-end tests, repeated runs for stability, and edge-case coverage
- Pragmatic model selection using accuracy/cost/speed tradeoffs; upgrades models when needed for complex inputs
- Effective collaboration with non-technical stakeholders through iterative feedback and plain-language communication
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