Ahamed Shahmi
Full-Stack AI Engineer | RAG Pipelines • LLM Apps • Chatbot
AI Agent for Automatic Book Summary Generation
An AI-powered agent that automatically generates summaries for PDF books using Large Language Models (LLMs).
The system continuously monitors a Google Drive folder, detects newly uploaded PDFs in real time, and generates concise...
Multi-Modal AI System for Produce Freshness Detection
Designed and deployed a real-time multi-modal AI System integration CNN-based image analysis with gas sensor, NIR, and metadata features using early fusion. Achieved 93.42% accuracy with 113 ms interference latency on a...
Intelligent resume analysis powered by Gemini 2.5, all-MiniLM-L6-v2, FastAPI, and React + Vite. Multi-dimensional ATS scoring, keyword matching, semantic similarity, skill gap detection, and actionable recommendations — all via a clean REST API.
Built an agentic RAG chatbot enabling natural language conversations over 25 landmark AI/ML research papers from ArXiv, with source-attributed answers and page-level citations.
Designed a 5-category intent classification system using zero-temperature Gemini to route messages -...
