V

Varshini Patel

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New Jersey, United States

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Résumé


Jobs verified_user 0% verified
  • Spring Health
    AI/ML Engineer
    Spring Health
    Aug 2024 - Current (2 years)
    • Architected and deployed production-ready RAG systems using LangChain and multi-query LLM approaches with TensorFlow and transformer-based models, processing 100,000+ clinical and mental health documents in real-time, improving care navigation accuracy by 20% and F1 score from 0.71 to 0.86 through prompt engineering and model optimization. • Defined and documented RAG architecture standards, including chunking strategies, retrieval pipeline design, and LLM prompt templates, adopted as the internal ML engineering baseline across the AI/ML team, reducing new engineer onboarding time by 4 weeks. • Served as the primary ML technical lead in product planning sessions, translating clinical requirements into model specifications and driving arch
  • D
    Data Scientist
    Deloitte (Financial services & healthcare AIML consulting)
    Sep 2022 - Jan 2024 (1 year 5 months)
    • Led ML model development and deployment across financial services and healthcare client engagements using Python, PyTorch, and Spark, achieving 35% improvement in forecast accuracy and precision scores above 0.88 through advanced statistical techniques and client-specific data segmentation, serving as the primary ML point of contact across 2 concurrent client accounts. • Architected and delivered NLP solutions using transformer-based models for topic modeling, word embeddings, and unstructured text analysis across 3+ enterprise clients, improving data analysis accuracy by 30% and cutting text processing time by 40% across business intelligence platforms. • Established MLOps and model governance frameworks across client delivery teams by d
  • S
    Jr Data Scientist
    Smarc Technologies (ML and data solutions company, retail and logistics)
    Jun 2020 - Aug 2022 (2 years 3 months)
    • Owned end-to-end ML model development using Scikit-learn, building Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting classifiers on customer behavioral datasets, driving real-time business decision-making across 4 product lines and improving forecasting accuracy by 25%. • Designed and deployed production REST APIs using Flask and FastAPI, containerized with Docker and hosted on AWS, supporting technology clients with 30% faster system response times and 99.9% data integrity at scale. • Built and maintained Python, SQL, PostgreSQL, and MongoDB data pipelines processing large-scale transactional datasets, reducing data processing errors by 30% and ensuring integrity across all analytical workflows. • Developed ETL and
Education verified_user 0% verified
  • Northern Illinois University
    Master of Science in Management Information Systems
    Northern Illinois University
    Jan 2024 - Dec 2025 (2 years)
  • Databricks
    Databricks Certified Machine Learning Professional
    Databricks
  • AWS
    AWS Certified Machine Learning - Specialty
    AWS
  • A
    Microsoft Certified: Azure AI Engineer Associate
    Azure
  • G
    TensorFlow Developer Certificate
    General ML