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Aryaa Deshpande
Junior AI Engineer specializing in ML, LLM systems, and RAG
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About
Built and deployed an LLM/applied-ML system enabling efficient extraction of useful information from large unstructured multimodal datasets, owning the full pipeline from ingestion to inference and APIs with a strong emphasis on production reliability, latency, and monitoring. Also delivered a voice-based AI workflow for Hindi policy document access for the Election Commission of India by translating non-technical usability needs into iterative demos and a successful implementation.
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Key Strengths
- Owned end-to-end ML/LLM production pipeline (ingestion through inference and APIs)
- Production reliability focus: evaluation iteration, monitoring, and guardrails
- Latency/stability optimization by simplifying pipelines and avoiding recomputation
- Designs measurable evaluations with real-world and edge-case test sets
- Builds robust workflows with idempotent steps and safe retries with backoff
- Translates non-technical stakeholder needs into usable AI workflows; iterates via demos and feedback
- Delivered voice-based access tool for Hindi policy documents to the Election Commission of India
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