m
moinjamal

Moin Jamal

@moinjamal

AI Engineer and Full Stack Developer

Pakistan
Englisch, Urdu, Hindi, Deutsch, Chinesisch, Spanisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
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!... Mehr lesen

Kompetenzen

m
moinjamal
Moin Jamal
offline • 

Meine Dienstleistungen

CRM- & ERP-Entwicklung
I will setup, customize and integrate crm and erp systems with api automation
Full-Stack-Webanwendungen
I will develop full stack web application with django, react js and fix bugs

Portfolio

Arbeitserfahrung

Sir_Syed University of Engineering & Technology (SSUET)

Lecturer, Computer Science and IT

Sir Syed University of Engineering & Technology (SSUET) • Vollzeit

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 • Vollzeit

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