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Payal Rajguru

I’m a passionate and innovative GenAI Engineer at Accenture, specializing in building intelligent, agent-driven applications using state-of-the-art large language models (LLMs). My expertise lies in designing autonomous workflows, retrieval-augmented generation (RAG), and context-aware AI systems. I thrive on integrating LLMs with tools and APIs to solve real-world business problems. Curious by nature and committed to continuous learning, I embrace the evolving GenAI landscape with creativity and technical rigor.

  • Role

    Gen AI Engineer

  • Years of Experience

    3 years

Skillsets

  • Layoutlm
  • Innovative solution development
  • project leadership
  • Data analysis expertise
  • Technical troubleshooting
  • NO SQL - 2 Years
  • AI pipelines
  • NLP - 2 Years
  • Yolov6
  • Yolov5
  • Yolov4
  • Phi-3
  • Gemini
  • Mistral
  • OpenAI GPT
  • Azure OCR
  • Data Analysis
  • BERT
  • Mongo DB
  • LLAMA
  • Django
  • Unsupervised Learning
  • Supervised Learning
  • hyperparameter tuning
  • Exploratory data analysis (eda)
  • Prompt Engineering
  • Generative AI - 2 Years
  • Feature Engineering
  • Hugging Face Transformers
  • PyTorch - 2 Years
  • SQL
  • Python - 2 Years

Professional Summary

3Years
  • Aug, 2023 - Present2 yr 7 months

    Associate Gen AI Engineer

    Quixy
  • Mar, 2023 - Jul, 2023 4 months

    Associate AI Engineer

    Quixy
  • Sep, 2022 - Feb, 2023 5 months

    Machine Learning Engineer (Intern)

    Quixy

Applications & Tools Known

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    BERT

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    MongoDB

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    Docker

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    Streamlit

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    Git

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    Bitbucket

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    VSCode

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    LangChain

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    RAG

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    CI/CD

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    MLOps

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    RAG

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    Data Analysis

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    CI/CD

Work History

3Years

Associate Gen AI Engineer

Quixy
Aug, 2023 - Present2 yr 7 months
    Created Streamlit apps for real-time data analysis, data cleaning capabilities, and table/column description generation from PDFs, improving the SQL queries quality. Implemented advanced NLP techniques including RAG for accurate table identification and LangChain for real-time SQL generation and data visualization.

Associate AI Engineer

Quixy
Mar, 2023 - Jul, 2023 4 months
    Developed Hamta, an application that automates document processing and report generation using machine learning technology.

Machine Learning Engineer (Intern)

Quixy
Sep, 2022 - Feb, 2023 5 months
    Developed ML Q/A chatbot using Python, LangChain and RAG for PDFs and websites leveraging LLMs (llama2, falcon, mistral, GPT-3.5 Turbo) with ChromaDB for efficient storage to generate informative responses. Created a streamlit UI to facilitate user interaction. Build a real-time vehicle detection application using Python and Streamlit utilizing YOLOv4, YOLOv5, and YOLOv6 models for image and video processing.

Achievements

  • Developed Hamta, an application that automates document processing and report generation using machine learning.
  • Implemented advanced NLP techniques including Retrieval-Augmented Generation (RAG) for accurate table identification by 95%.
  • Conducted interviews for Machine Learning Engineer roles at Quixy.
  • Developed Hamta: An application that automates document processing and report generation using machine learning.
  • Created Streamlit apps for real-time data analysis, data cleaning capabilities, and table/column description generation from PDFs.

Major Projects

4Projects

Hamta - Intelligent Document Processor

Mar, 2023 - Jul, 2023 4 months
    Developed Hamta, an application that automates document processing and report generation using machine learning. Built AI pipelines (LayoutLM, Azure OCR, BERT) for data extraction & named entity recognition. Optimized models with image augmentation & hyperparameter tuning. Developed Django RESTful backend & managed data with MongoDB. Implemented Git/Bitbucket for version control & CI/CD. Created APIs: Overall Document Trends API, Per-Model Document Trends API, Model Performance API. Debugged various APIs to ensure seamless functionality.

HAMTA - Intelligent Document Processer

Sep, 2022 - Feb, 2023 5 months
    Developed ML Q/A chatbot using Python, LangChain, and RAG for PDFs and websites leveraging LLMs with ChromaDB for efficient storage to generate informative responses.

Real-time vehicle detection application

Sep, 2022 - Feb, 2023 5 months
    Built a real-time vehicle detection application using Python and Streamlit, utilizing YOLOv4, YOLOv5, and YOLOv6 models for image and video processing.

ML Q/A Chatbot Engineering

Sep, 2022 - Feb, 2023 5 months
    Spearheaded the development of an ML Q/A chatbot for PDFs and websites using Python, LangChain, and RAG. Incorporated LLMs (llama2, falcon, mistral, GPT-3.5 Turbo) and ChromaDB, achieving a 40% improvement in response efficiency and 95% accuracy in answering queries.

Education

  • Master of Science - Physics

    INSTITUTE OF SCIENCE, NAGPUR (2017)

  • Master of Science in Machine Learning & AI

    International Institute of Information Technology, Bangalore (IIIT Bangalore)

  • Master of Science in Physics

    Institute Of Science, Nagpur (2017)

Certifications

  • Data science & artificial intelligence

  • Generative ai with large language models

  • Chatgpt prompt engineering for developers

  • Large language models: application through production