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I am Abdul Haque, a data science graduate with expertise in AI/ML, multi-agent systems, and GraphRAG. I’ve built production-ready applications with 83% accuracy in fact-checking and enjoy turning complex data problems into scalable, real-world solutions.\n\nFrom leading Python sections at Stanford’s Code In Place to interning in web scraping, computer vision, and generative AI projects, I blend hands-on engineering with collaborative problem solving. I thrive in fast-paced teams, delivering end-to-end data products with ML ops, cloud deployment, and robust APIs.…I am Abdul Haque, a data science graduate with expertise in AI/ML, multi-agent systems, and GraphRAG. I’ve built production-ready applications with 83% accuracy in fact-checking and enjoy turning complex data problems into scalable, real-world solutions.\n\nFrom leading Python sections at Stanford’s Code In Place to interning in web scraping, computer vision, and generative AI projects, I blend hands-on engineering with collaborative problem solving. I thrive in fast-paced teams, delivering end-to-end data products with ML ops, cloud deployment, and robust APIs.

Abdul Haque

Data Scientist, AI Engineer, Web Developer, +1

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I am Abdul Haque, a data science graduate with expertise in AI/ML, multi-agent systems, and GraphRAG. I’ve built production-ready applications with 83% accuracy in fact-checking and enjoy turning complex data problems into scalable, real-world solutions.\n\nFrom leading Python sections at Stanford’s Code In Place to interning in web scraping, computer vision, and generative AI projects, I blend hands-on engineering with collaborative problem solving. I thrive in fast-paced teams, delivering end-to-end data products with ML ops, cloud deployment, and robust APIs.…I am Abdul Haque, a data science graduate with expertise in AI/ML, multi-agent systems, and GraphRAG. I’ve built production-ready applications with 83% accuracy in fact-checking and enjoy turning complex data problems into scalable, real-world solutions.\n\nFrom leading Python sections at Stanford’s Code In Place to interning in web scraping, computer vision, and generative AI projects, I blend hands-on engineering with collaborative problem solving. I thrive in fast-paced teams, delivering end-to-end data products with ML ops, cloud deployment, and robust APIs.

Available to hire

I am Abdul Haque, a data science graduate with expertise in AI/ML, multi-agent systems, and GraphRAG. I’ve built production-ready applications with 83% accuracy in fact-checking and enjoy turning complex data problems into scalable, real-world solutions.\n\nFrom leading Python sections at Stanford’s Code In Place to interning in web scraping, computer vision, and generative AI projects, I blend hands-on engineering with collaborative problem solving. I thrive in fast-paced teams, delivering end-to-end data products with ML ops, cloud deployment, and robust APIs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Section Leader at Code In Place, Stanford University

April 1, 2025 - June 1, 2025

Led weekly interactive sections of 10 students, guiding Python exercises and CS106A fundamentals with a 95% completion rate. Mentored learners through personalized feedback and collaborative programming exercises in a global community.

Data Science Intern at Securely Innovations (Pvt.) Ltd

April 1, 2024 - November 1, 2024

Engineered web scraping pipelines increasing data collection efficiency by 40% and processing millions of items.

Computer Vision & Generative AI Intern at DataInsight Lab - FAST NUCES

June 1, 2024 - August 1, 2024

Fine-tuned Stable Diffusion models achieving 87% accuracy using LoRA/QLoRA techniques and minimal training data; reduced model training time while maintaining performance through parameter-efficient fine-tuning.