Hi There!
I'm Rishabh Indoria, an ML/AI Engineer passionate about building end-to-end AI systems for real-world applications. I specialize in designing, training, and deploying machine learning models, from data preprocessing and model optimization to production-ready pipelines. I enjoy experimenting with deep learning architectures, NLP, computer vision, and scalable AI solutions.
Feel free to explore some of my AI projects on GitHub or connect with me on LinkedIn.
Projects
GraphIQ: Agentic AI Knowledge Graph
GraphIQ is an agentic AI system that ingests documents, constructs knowledge graphs, and enables context-aware question answering using both vector search and structured graph reasoning.
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AeroCluster: Vision Transformer Drone Swarm Framework
AeroCluster is a robust, fault-tolerant framework enabling real-time deployment of Vision Transformers on resource-limited drone swarms, supporting object detection, depth estimation, and autonomous navigation.
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Recipe for Rating: Predict Food Ratings using ML
Recipe for Rating is a machine learning project designed to predict food ratings using numeric, categorical, and text features. The project achieved top Kaggle competition performance, ranking 118th with a score of 0.78288.
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