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ANERI GIRISHBHAI PATEL

@anerigirishbhaipatel

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Data scientist specializing in NLP, LLM integration, and scalable ML-driven solutions.

United States

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What I'm looking for

I seek roles building production NLP/LLM systems with strong engineering rigor, cloud deployment, and collaborative, impact-driven teams where I can scale models and improve real-world workflows.

I am a data scientist focused on NLP and large language model integration, with hands-on experience building scalable pipelines, deploying models on cloud platforms, and optimizing inference workflows. I have delivered production-ready applications—ranging from serverless RAG chatbots to document-summarization web apps—improving efficiency and retrieval accuracy in legal and educational contexts.

My background combines strong applied ML engineering skills (PyTorch, TensorFlow, CUDA optimization), cloud and DevOps practices (GCP, AWS, Docker), and data engineering (ETL, SQL, Airflow). I emphasize iterative, user-informed development: my projects have reduced manual review time by 23%, achieved 90% retrieval accuracy in production RAG systems, and supported analytics for 50,000 students.

Experience

Work history, roles, and key accomplishments

Graduate Research Assistant

The George Washington University

Jun 2024 - May 2025 (11 months)

Designed relational data models and implemented a Caspio-based ingestion system for metadata from 1,000+ litigation cases and 10,000 legal documents, and developed a GCP-deployed LLM summarization web app that reduced manual review time by 23%.

GCP)OpenAI Web Scraping Prompt Engineering Python LLMs)Agile)GoogleVision API

Data Science Intern

Infotrend Inc.

Jun 2024 - Aug 2024 (2 months)

Built and fine-tuned NLP and computer vision models using PyTorch and TensorFlow, optimized inference with CUDA and post-training quantization to improve inference speed by 30%, and containerized models with Docker for deployment.

PyTorch TensorFlow OpenCV CUDA Model Quantization Docker NLP Computer Vision

Data Analyst

The Coaching Academy

Jan 2022 - Dec 2022 (11 months)

Built Power BI dashboards and ETL pipelines with Python and Airflow to track academic performance for 50,000 students, enabling targeted interventions that improved student outcomes by 18%.