Pest Detection System - Senior Year Project
Built a web app using MERN and Flask to assist farmers in early disease detection for wheat crops, achieving 93% accuracy with SVM, Random Forest, and Transfer Learning.
Mohib K is a highly skilled Data Scientist with strong foundations in computer science and hands-on experience building production-grade AI and data systems. He specializes in large language model (LLM) applications, Retrieval-Augmented Generation (RAG), and intelligent data access systems, with proven expertise using LlamaIndex, FastAPI, Python asyncio, AWS Bedrock, OpenSearch, and modern embedding models. At Xavor Corporation, he has architected and optimized enterprise RAG and Text-to-SQL systems serving dozens of…
Built a web app using MERN and Flask to assist farmers in early disease detection for wheat crops, achieving 93% accuracy with SVM, Random Forest, and Transfer Learning.
Developed and recovered a React-based chatbot implemented as a custom Power BI visual that converts natural language questions into SQL queries, executes them via a backend API, and displays results in structured tables for non-technical users. The solution supports domain-based querying, SQL visualization, error handling, and loading states, enabling seamless integration of Text-to-SQL capabilities directly within Power BI dashboards.

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Mohib K is a highly skilled Data Scientist with strong foundations in computer science and hands-on experience building production-grade AI and data systems. He specializes in large language model (LLM) applications, Retrieval-Augmented Generation (RAG), and intelligent data access systems, with proven expertise using LlamaIndex, FastAPI, Python asyncio, AWS Bedrock, OpenSearch, and modern embedding models. At Xavor Corporation, he has architected and optimized enterprise RAG and Text-to-SQL systems serving dozens of…
Built a web app using MERN and Flask to assist farmers in early disease detection for wheat crops, achieving 93% accuracy with SVM, Random Forest, and Transfer Learning.
Developed and recovered a React-based chatbot implemented as a custom Power BI visual that converts natural language questions into SQL queries, executes them via a backend API, and displays results in structured tables for non-technical users. The solution supports domain-based querying, SQL visualization, error handling, and loading states, enabling seamless integration of Text-to-SQL capabilities directly within Power BI dashboards.
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