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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.
Experience
Education
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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