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  • University of Illinois Chicago
  • Chicago
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subha-ilamathy/Readme.md

๐Ÿ‘‹ Hi, I'm Subha Ilamathy!

๐Ÿ’ป Software Engineer | AI | Machine Learning | ๐ŸŽ“ Master of Science in Computer Science | ๐ŸŒ Computer Vision, Machine Learning


๐Ÿš€ Experience

  • ๐Ÿ› ๏ธ Proficient in Full Stack (Backend), Data Engineering, Computer Vision, Machine Learning, Deep Learning

๐Ÿ“ˆ GitHub Stats

GitHub Stats



๐ŸŒ Let's Connect!

LinkedIn Portfolio

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  1. argraph argraph Public

    ArGraph is a full-stack conversational research assistant powered by Large Language Models (LLMs) and knowledge graphs. It enables users to upload domain-specific documents (e.g., PDFs or text), dyโ€ฆ

    Python

  2. Scalable_RAG_using_Ray Scalable_RAG_using_Ray Public

    This repository provides a comprehensive guide to building a scalable RAG application using Ray and Anyscale Endpoints. The application is designed to handle large-scale data processing and LLM infโ€ฆ

    Jupyter Notebook 1 1

  3. Pinterest-Multimodal-Image-Retrieval-using-GNN Pinterest-Multimodal-Image-Retrieval-using-GNN Public

    This repository contains the implementation of two variants: LPFormer and Modified LPFormer with Multimodal Attention, designed to handle multimodal data. The codebase includes modules for generatiโ€ฆ

    Python 1

  4. SIH_DeepSeeCrime SIH_DeepSeeCrime Public

    To signal an activity that deviates normal patterns with time window. Video annotation, Video retrieval, and Real-time monitoring. Identify and track down the suspects.

    Python 3

  5. fall_detection_actions fall_detection_actions Public

    An AI system that generates video analytics based on movement-related events of a person in a room using a live camera feed which includes logging of the activities performed by the person. We use โ€ฆ

    Python 20 6

  6. nyc-healthcode-discrepancy-detector nyc-healthcode-discrepancy-detector Public

    An AI-powered tool built with Python, LlamaIndex, and RAG that parses NYC Health Code Article 81, creates a semantic search index, and detects discrepancies between inspector-reported violations anโ€ฆ

    Python