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khadimhussain1

Khadim Hussain

@khadimhussain1

Python AI Developer Hugging Face , Streamlit Expert

Paquistão
Inglês, Urdu, Panjabi
Algumas informações são exibidas no idioma inglês.
Sobre mim
I did a lot of work in industry Sector and IT Support Companies and Training institutes in Karachi, then i work in Baud Telecom Company to support internet services to STC. Now I am In Punjab and providing Training support to villigerian people in Agricultural Sector and take active part in activities of entertainment of Local Area I am an experienced agriculture and irrigation professional with 15+ years of hands-on field expertise across 66+ projects in farming, irrigation systems, & livestock operations. I specialize in irrigation planning, fertigation strategies, farm automation concept.... Saiba mais

Habilidades

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khadimhussain1
Khadim Hussain
offline • 

Conheça meus serviços

Integrações de IA
I will integrate hugging face ai models into python applications via rest API
A partir deUS$ 90 /projetoMais detalhes

Portfólio

Experiência profissional

Freelance_Web Designer

Python & AI Applications Developer

Freelance Web Designer • Freelance

Jun 2026 - Aug 2026 • 2 mos

Designed, prototyped, and deployed interactive AI-driven applications by leveraging Python, Google Colab environment, and Streamlit. Specialized in integrating open-source Large Language Models (LLMs) and Hugging Face REST APIs to solve real-world data and automation problems. Key Achievements & Technical Deliverables: • Rapid AI App Prototyping: Engineered and deployed 3 end-to-end AI applications within 3 days, moving rapidly from initial Google Colab experimentation to full web deployment. • Hugging Face Model Integration: Integrated inference endpoints for Hugging Face open-source models into custom Python web applications. • Data & ML Workflows: Utilized Pandas and Scikit-Learn to preprocess datasets, handle feature extraction, and pipeline model evaluations efficiently. • Interactive UI Development: Built clean, responsive web user interfaces using Streamlit for seamless user interaction and real-time inference testing.