m
muhammad_aoun15

Muhammad A

@muhammad_aoun15

Machine Learning Developer,Python,Data Analysis,AI

Pakistan
Englisch, Urdu, Punjabi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Python, Machine Learning, AI, and Flutter developer focused on building practical software and data-driven solutions. Experienced with Python, Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, SHAP, FastAPI, Streamlit, Flutter, Dart, and SQL. I build machine learning models, AI assistants, chatbots, APIs, dashboards, and mobile applications. I focus on clean code, practical solutions, clear communication, and reliable delivery.... Mehr lesen

Kompetenzen

m
muhammad_aoun15
Muhammad A
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Full-Stack-Webanwendungen
I will build machine learning models and ai applications
Ab20 $ / ProjektWeitere Details
Statistische Modellierung & Analyse
I will analyze, clean and visualize your data using python
Ab10 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

remote

remote

Freiberufler • 6 mos

AI Developer | Python & Streamlit

Jun 2026 - Present • 2 mos

Developed an AI-powered Career Assistant web application using Python and Streamlit to help job seekers improve their resumes and career readiness. Key features include: • ATS Resume Scoring and keyword analysis • Resume parsing from PDF and DOCX files • Job description and skill matching • Skill Gap Analysis with learning roadmaps • AI-powered resume analysis using Google Gemini • Structured extraction of education, skills, projects, certifications, and experience • Modular Python architecture for maintainable and scalable development Technologies: Python, Streamlit, Google Gemini API, PDF/DOCX Processing, NLP, REST/API Integration, SQL, Git/GitHub. The project focuses on turning unstructured resumes and job descriptions into actionable career insights through automated analysis and AI.

Clinic Management System

Apr 2026 - Present • 4 mos

Developed a full-stack Clinic Management System to help manage clinic operations through a modern mobile application. The application includes a secure login system, clinic dashboard, patient management, doctor management, appointment management, and quick actions. The dashboard displays real data such as patient count, doctor count, appointment count, and today’s appointments. I worked as the Full-Stack Developer and handled the Flutter frontend, UI/UX development, FastAPI backend, REST API integration, JWT authentication, database/API integration, debugging, and deployment configuration. The Flutter application communicates directly with the FastAPI backend, allowing users to view and manage real data instead of static or hard-coded information. Technologies: Flutter, Dart, Python, FastAPI, REST APIs, JWT Authentication, SQL/Database, Git, GitHub. The goal was to create a secure, responsive, and practical clinic management solution with a clean user experience.