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Jahnavi Lasyapriya Vavilala
Junior Machine Learning Engineer specializing in LLMs, NLP, and computer vision
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About
Built a production, agentic multi-agent pharmaceutical intelligence system for US oncology (breast cancer) conference/news intelligence, automating MSL-style information gathering and summarization for pharma and healthcare stakeholders. Uses CrewAI + LangChain orchestration, custom scraping across ~15 pharma newsrooms, and a grounding-score evaluation approach (sentence transformers/cosine similarity) to mitigate hallucinations.
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Key Strengths
- Built and deployed a production multi-agent pharmaceutical intelligence system (5-agent pipeline: scraping → summarization → entity extraction)
- Hands-on orchestration of sequential and hierarchical multi-agent workflows in CrewAI with tool integration and agent backstories
- Pragmatic performance optimization (worked around CrewAI limitations by bypassing it for scraping agent)
- Robust LLM evaluation to reduce hallucinations (grounding score threshold using sentence transformers + cosine similarity; semantic de-duplication)
- Ability to translate technical work into business KPIs and dashboards for non-technical stakeholders
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