I am a Master's student in Computer Science at New Jersey Institute of Technology (NJIT), specializing in Natural Language Processing, Generative AI, and Scalable System Design. Bridging the gap between research and production, I have experience architecting full-stack RAG-based search engines, optimizing LLM pipelines, and deploying containerized microservices. My passion lies in building robust AI systems that solve real-world problems in recruitment, healthcare, and security.
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🔭 I’m currently building ScoutIQ, an AI-powered recruitment intelligence platform leveraging Llama-3, Vector Search (Qdrant), and RAG pipelines.
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🌱 I’m currently mastering Advanced Retrieval-Augmented Generation (RAG) techniques, Kubernetes orchestration for ML workflows, and Agentic AI patterns.
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👯 I'm eager to collaborate on projects involving Large Language Models (LLMs), Semantic Search, MLOps, and scalable backend architectures.
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🤝 I’m open to discussions on optimizing vector retrieval, fine-tuning open-source LLMs, and securing AI supply chains.
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👨💻 All of my projects are available at https://github.com/MohammedSaim-Quadri
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📫 How to reach me: mohammedsaimquadri@gmail.com | LinkedIn
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📄 Know about my experiences: Resume
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⚡ Fun fact: I enjoy breaking down complex AI topics into simple explanations—sometimes I learn best by teaching!
- K-Means Clustering: The Art of Finding Your Tribe
- PCA: How to Summarize a Dataset with Math
- An Introduction to Unsupervised Learning
- XGBoost: Taking Gradient Boosting to an Extreme Level
