A comprehensive archive of engineering research, AI pipelines, and web applications.
An enterprise AI infrastructure control plane that dynamically prunes MCP tool schemas, caches semantically equivalent queries, intercepts adversarial prompt injections, and orchestrates resilient multi-provider LLM failover.
A hybrid NLP pipeline combining a LangGraph multi-agent LLM workflow and a custom Data Augmented RoBERTa (DA-RoBERTa) sequence tagger for automated, discourse-level rhetorical analysis of academic texts.
An optimized, full-stack Retrieval-Augmented Generation (RAG) architecture utilizing hybrid vector search and ONNX-based cross-encoder reranking to deliver highly accurate, document-grounded technical intelligence.
Adversarial testing framework evaluating LLM vulnerabilities to prompt injection, jailbreaking, and multi-turn attacks through interactive social engineering scenarios using the Groq API.
An interactive web application powered by a Data-Augmented RoBERTa (DA-RoBERTa) model to perform real-time discourse analysis, extending Automated Writing Evaluation (AWE) beyond basic grammar checks and surface-level linguistic analysis.
Developed a computer vision pipeline to evaluate demographic attribute prediction and regression-to-the-mean bias, enabling real-time age and gender detection from webcam feeds using DeepFace and OpenCV.
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