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Arya Mane
Junior Full-Stack & AI/ML Engineer specializing in LLMs and multimodal document processing
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About
Built a production RAG-based NBA player scouting assistant that embeds player profiles into FAISS, orchestrates retrieval and LLM recommendations with LangChain, and surfaces results via embedded Tableau dashboards. Demonstrates strong focus on evaluation/monitoring (batch tests, LLM-as-judge, latency/failure/token metrics) and has experience translating non-technical founder goals into DAPT + fine-tuning plans on curated data.
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Key Strengths
- Built and deployed a production RAG-based NBA player scouting assistant end-to-end
- Improved retrieval quality via embedding model tuning and rule-based filtering (position/stat thresholds)
- Designed multi-component LLM workflow with LangChain orchestration
- Implemented structured evaluation datasets and batch testing for AI workflow reliability
- Uses measurable evaluation and system metrics (correctness/factuality/completeness, latency, failure rate, token usage)
- Bridges technical and business needs; collaborated with a non-technical founder to propose DAPT and fine-tuning on curated data
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