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ibrahim5665

Khan Ibrahim

@ibrahim5665

Full Stack Web Developer and Custom AI Systems Specialist

Pakistan
Engels, Urdu, Duits, Russisch
Sommige informatie wordt in het Engels weergegeven.
Over mij
Hi! I'm Khan Ibrahim, Need to extract data, build ML models, or automate daily tasks? With 2+ years of hands-on experience, I specialize in data processing, AI, web scraping, and custom Python automation to help streamline your business. What I offer: • Web Scraping & Data Extraction • Data Processing, Cleaning & Visualization • Machine Learning & Deep Learning Models • Full-Stack Web Development & Python Scripting I prioritize quality, precision, and clear communication. Contact me today—let’s discuss your project!... Lees meer

Skills

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ibrahim5665
Khan Ibrahim
offline • 
Gemiddelde reactietijd: 1 uur

Bekijk mijn diensten

Machine learning
I will train a machine learning model on your dataset using python
VanafUS$ 90 / projectMeer informatie
Automatiseringen
I will write python scripts to automate your tasks and process data
VanafUS$ 25 / projectMeer informatie

Portfolio

Werkervaring

Self-Employed

Full-Stack AI/ML Engineer

Self-Employed • Freelance

Oct 2026 - Present • 1 mo

Developed end-to-end artificial intelligence applications, machine learning pipelines, and responsive web interfaces for various clients. AI/ML Integration: Built and integrated custom machine learning models using PyTorch, Scikit-learn, and Hugging Face Transformers for classification, data processing, and predictive analytics tasks. Full-Stack Web Development: Designed and deployed modern web applications utilizing Next.js, Node.js, and Python web frameworks with clean, responsive frontends (Tailwind CSS / Shadcn UI). Agentic Workflows & RAG: Engineered retrieval-augmented generation (RAG) pipelines, API integrations, and local LLM workflows to power intelligent conversational assistants and automated data retrieval tools. Performance & Deployment: Optimized backend data parsing workflows and database schemas to ensure seamless communication between machine learning backends and user-facing web dashboards.