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Abheesht Roy
Junior Software Engineer specializing in AI and distributed systems
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Built and shipped a production LLM-driven data harmonization/record-matching pipeline for pharmaceutical datasets, combining normalization, embeddings/vector search, and an LLM validation step. Emphasizes production reliability via guardrails, confidence thresholds, idempotent/retryable stages, and human-in-the-loop fallbacks, with monitoring focused on manual review and error rates to reduce false positives.
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Key Strengths
- Shipped production LLM agent for pharma record matching/data harmonization
- Designs safe-fail automation with confidence thresholds and human review fallbacks
- Reduces false positives via multi-field validation and deterministic checks
- Builds reliable, modular pipelines with logging, retries, and idempotency
- Uses online signals (manual review rate and error rate) to drive iterative reliability improvements
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Experience
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2 publications
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