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Puja Sridhar
Intern AI/ML Engineer specializing in LLMs, RAG, and agentic automation
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About
Built and deployed production NLP/LLM systems including a multilingual (5-language) health misinformation detection pipeline with latency optimization (batching/quantization/caching) and explainability (gradient-based attention visualizations). Experienced orchestrating end-to-end AI workflows with Airflow and Prefect, and partnering with customer support ops to deliver an AI agent for ticket summarization and priority classification with clear, measurable acceptance criteria.
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Key Strengths
- Built and deployed a multilingual health misinformation detection pipeline across 5 languages
- Handled messy multilingual data standardization across inconsistent schemas
- Maintained model performance across high-variance languages via tokenization choices and domain-specific augmentation
- Met latency targets through batching, quantization, and caching
- Implemented explainability with gradient-based attention visualizations
- Production workflow orchestration with Airflow/Prefect (ETL, dependencies, monitoring, retries, alerting)
- Structured agent/workflow evaluation approach with KPIs, component-level testing, golden datasets, and post-deploy monitoring
- Strong cross-functional collaboration—translated customer support needs into measurable acceptance criteria for an AI ticket summarization/priority system
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