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Deep Patel

Junior AI/ML Engineer specializing in NLP, LLMs, and MLOps deployment

Seattle, WAAI Engineer1 years experienceJuniorArtificial IntelligenceTechnologyHealthcare
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About

Built and deployed NeuroDoc, a production-grade RAG system for PDF Q&A that delivers citation-backed answers with strong anti-hallucination guardrails. Experienced in orchestrating and scaling ML/LLM pipelines with Kubernetes, Airflow/Prefect, and PyTorch Distributed, and in building rigorous evaluation and citation-verification tooling to ensure reliability in production.

Experience

AI EngineerFirenix Technologies Pvt. Ltd.
Machine Learning Research InternIIIT Vadodara

Education

University of Oklahomamaster, Computer Science (2025)
Indian Institute of Information Technology (IIIT), Gujarat, Indiabachelor, Computer Science and Engineering (2022)

Key Strengths

  • End-to-end production deployment of LLM/RAG systems (FastAPI + Docker + Nginx)
  • Systematic hallucination reduction using thresholds, multi-chunk evidence, grounding prompts, reranking, and post-checks
  • Designing measurable LLM evaluations (grounding accuracy, hallucination rate, latency, citation correctness)
  • Building automated citation-correctness checkers (parsing citations, matching to chunk IDs)
  • Scalable and reliable Kubernetes-based model serving (HPA, probes, GPU scheduling)
  • Translating non-technical product requirements into concrete technical constraints and tradeoffs

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Languages

English

Skills

AI/ML EngineeringMachine LearningDeep LearningSupervised LearningUnsupervised LearningRegressionLinear RegressionLogistic RegressionClassificationNaive BayesSupport Vector Machines (SVM)Random ForestXGBoostClusteringK-Means