Muneeb M.

Hello! 🔆 With 3 years in machine learning and a year in web development, I'm here to bring your projects to life. I've mastered GPT chat automation for businesses and am committed to top-notch results. Need a reliable web or AI expert? Let's chat!👨‍💻💬 My portfolio website: muneebmuhammad.github.io Machine Learning Experience: Natural Language Processing: ✅ Chatbot: Developed a customer support AI agent that uses the company's instruction manual to directly answer customer questions🤖. ✅ Multi-Agent LLMs: Leveraged multiple large language models and tools, including search engines and RAG, to enhance chatbot performance through collaborative operation.🤝 ✅ Autonomous Web Navigation: Used Chat GPT in Chrome extension that understands & acts on web pages from user's plain English commands 🌐. ✅ Automation with Zapier. Computer Vision: ✅ Crop Disease Detection: 3-month research internship at Technical University Kaiserslautern, Germany. Focused on wheat rust disease detection🌾. ✅ Camouflaged object detection🕵️‍♂️ ✅ Few-shot image classification📸. ✅ Automobiles Inspection at VisionRD(startup): worked on Toyota Yaris's fuse box and Changhan's paint quality inspection. The work comprised Classification and Object Detection, respectively, on edge devices🚗🔍. ✅ Implemented several research papers both in the field of computer vision, Natural Language Processing, and prompt engineering📚. ✅ I also researched forest health detection using remote sensing data and machine learning🌳🛰. Web Development Experience: ✅ Activity Tracker: A full-stack Next.js and Supabase application. I built key features like user activity tracking, leaderboards, a gamification system, and integrated the Lemon Squeezy payment gateway for subscriptions. ✅ Daycare application for HamsonTech company with React and Firebase: Developed a comprehensive daycare solution encompassing three modules: a dedicated daycare interface, a personalized platform for mothers, and a nutritionist module for caloric tracking and meal planning🍎 ✅ University Management System and e-commerce application using MEAN stack🎓. ✅ Blood Management System application using React and MySQL: A distributed system in which multiple hospitals automatically communicate with each other to cater to blood requirements. Patients can also use it to see the nearest hospital where their required blood can be found🏥💉. ✅ Twitter Scrapper: Used Selenium in Python to scrap data from Twitter based on usernames, hashtags, or directly from the explore page🐦🔍.