m
moinjamal

Moin Jamal

@moinjamal

AI Engineer and Full Stack Developer

Paquistão
Inglês, Urdu, Hindi, Alemão, Chinês, Espanhol
Algumas informações são exibidas no idioma inglês.
Sobre mim
AI Engineer (MS in Artificial Intelligence, NED) and Full Stack Developer. I build AI chatbots, AI agents and OpenAI/LLM integrations, train and evaluate machine learning models, and develop web apps with Django and React. Services: - AI chatbot, RAG and ChatGPT integration - Machine learning model training and fine tuning - Django, React and REST API web development - Bug fixing and debugging - CRM and ERP setup and API integration I built an AI assistant handling 1,500+ daily calls. Message me before ordering!... Saiba mais

Habilidades

m
moinjamal
Moin Jamal
offline • 

Conheça meus serviços

Desenvolvimento de CRM e ERP
I will setup, customize and integrate crm and erp systems with api automation
Aplicações Web Full Stack
I will develop full stack web application with django, react js and fix bugs

Portfólio

Experiência profissional

Sir_Syed University of Engineering & Technology (SSUET)

Lecturer, Computer Science and IT

Sir Syed University of Engineering & Technology (SSUET) • Período integral

Feb 2026 - Present • 8 mos

Lecturer in the Department of Computer Science and IT, teaching B.E. Tech (Artificial Intelligence) and BS Computer Science students. - Teach Machine Learning, Web Technologies and Knowledge Representation and Reasoning - Supervise and run the labs for these subjects, with hands-on Python and ML exercises - Organize student project displays for the courses I teach

ERP_Group of Companies

AI Software Developer

ERP Group of Companies • Período integral

Jan 2024 - Feb 2026 • 2 yrs 1 mo

Built an AI call and message assistant handling 1,500+ daily calls with 85%+ automated resolution. - Developed the AI core in Python with an NLP pipeline and Chroma vector database for fast retrieval - Built the backend and REST APIs with Django and Django REST Framework for a React.js frontend - Integrated with ERP/CRM systems and managed scheduling for 100+ daily appointments - Deployed on AWS with containers for scalability and high availability