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Prathik Yerraguntla

@prathikyerraguntla

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AI Engineer at MOURITech building an AI-powered security review platform and forecasting tools.

India

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What I'm looking for

I’m looking to contribute to impactful AI projects in a collaborative, innovation-driven environment where I can continue learning and growing.

At MOURITech, I developed an AI-powered Security Architecture Review platform that automates security document analysis, information extraction, risk assessment, and reporting. I used FastAPI, Semantic Kernel, LangChain, and Microsoft Azure AI services to build its document-processing and risk-analysis workflows.

At MOURITech, I also developed a time-series forecasting solution using historical market data to predict trends for 2026–2029. I delivered the forecasts through an interactive interface and dashboards on Azure Databricks.

At Research Centre Imarat (RCI)-DRDO, I built a Retrieval-Augmented Generation application for internal document search using ChromaDB and LangChain. I also designed its Streamlit interface and implemented document processing and summarization.

At RuralHandmade, I annotated images with bounding boxes and object tags and contributed to dataset curation for supervised learning pipelines. I’m eager to contribute to impactful AI projects while continuing to learn and grow in a collaborative, innovation-driven environment.

Experience

Work history, roles, and key accomplishments

Current

Associate AI Engineer

Current

MOURITech

Sep 2025 - Present (1 year 2 months)

Developed an AI-powered Security Architecture Review (SAR) platform using FastAPI, Semantic Kernel, LangChain, and Microsoft Azure AI services to automate security document analysis and risk assessment. Built LLM-driven document processing pipelines and a time series forecasting solution on Azure Databricks.

fastAPI Semantic Kernel Lang Chain Azure AI Foundry Azure Cosmos DB Azure Blob Storage Azure Databricks Machine Learning Time series Forecasting LLM Document Processing

GenAI Intern

Research Centre Imarat (RCI) - DRDO

Feb 2025 - May 2025 (3 months)

Built a Retrieval-Augmented Generation (RAG) application for internal document search using ChromaDB and LangChain. Designed an intuitive interface with Streamlit and implemented summarization logic to extract key insights.

RAG ChromaDB Lang Chain Streamlit Document Processing Summarization

AI Intern - Computer Vision

Rural Handmade

Jul 2023 - Aug 2023 (1 month)

Annotated images with bounding boxes and object tags to generate datasets for object detection models. Contributed to dataset curation for supervised learning pipelines.

Computer Vision Image Annotation Object Detection Dataset Curation