Welcome to my profile my goal is to deliver end-to-end intelligent solutions in AI and Full Stack Development, helping clients turn ideas into scalable, real-world applications powered by modern technology: I hold a BS in Software Engineering and specialize as an AI Engineer & Full Stack Developer, with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs). My engineering background enables me to build intelligent, scalable, and production-ready systems with clean architecture and optimized performance. I focus on developing end-to-end AI-powered applications from data preprocessing and model training to deployment and full-stack integration using modern web technologies. Technical Expertise: → AI & ML Models: Neural Networks, CNNs, RNNs, LSTMs, Transformers, GANs, Vision Transformers (ViTs) → LLM & AI Systems: Prompt engineering, LLM integration, AI agents, RAG-based systems, chatbot development → Domains: Computer Vision, Natural Language Processing (NLP), Video Analytics, Time-Series Forecasting → Full Stack Development: React, Next.js, Node.js, Express.js, REST APIs, Flask, Django → Deployment & Tools: Streamlit, Gradio, Docker, Cloud Integration, Vercel, AWS basics → Core Skills: Data preprocessing, feature engineering, model optimization, scalable system design Key Projects: 1. Healthcare AI & Medical Imaging: Built deep learning systems for diabetic retinopathy detection and 3D medical image analysis with high accuracy. 2. NLP & LLM Applications: Developed transformer-based sentiment analysis and LLM-powered text classification systems for intelligent insights. 3. Computer Vision Systems: Designed object detection, segmentation, and pose estimation pipelines for real-world applications. 4. AI Tutor (LLM + RAG System): Built an intelligent AI Tutor that teaches like a real instructor using LLM APIs and Retrieval-Augmented Generation (RAG). It can understand student queries, retrieve relevant knowledge from custom datasets, and generate structured, step-by-step explanations for better learning outcomes. 5. Data Science & Analytics: Performed full-cycle data analysis—cleaning, transformation, visualization, and predictive modeling on large datasets. 6. AI Web Applications: Integrated ML models into full-stack platforms for real-time inference and user interaction. Why Work With Me: → Strong foundation in Software Engineering + AI specialization → Expertise in ML, DL, and LLM-based systems → Production-ready, clean, and scalable code → Strong communication and reliable delivery → Focus on real-world impact and business value I am always open to collaborating on innovative AI, ML, DL and full-stack projects involving automation, intelligent systems, LLM applications, and data-driven solutions that push modern technology boundaries. Thank You