Looking for a job

Muhammad Hassan Jawad

@muhammadhassanjawad

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I build full-stack and agentic AI applications, from RAG platforms to medical imaging workflows.

Pakistan

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What I'm looking for

I'm looking to build practical AI and full-stack products, especially RAG, LLM, and medical AI systems, while growing through collaborative Agile teams and challenging software engineering work.

At TUKL, SEECS, NUST, I develop agentic AI workflows for medical imaging, including cardiac MRI reasoning and chest X-ray evidence extraction using multi-view analysis, TorchXRayVision ensembles, Grad-CAM, and reliability scoring. I also evaluate radiology report generation across BLEU, METEOR, ROUGE-L, and BERTScore while researching medical vision-language and agentic AI architectures.

I've built SupportAI, a multi-tenant RAG customer-support platform, and SwiftEd, an AI study-guide generator powered by Gemini. Across full-stack projects, I work with React, Node.js, Express, Next.js, Supabase, Python, and secure, scalable APIs.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Research Intern

Current

TUKL, SEECS, NUST

Aug 2026 - Present (1 month)

Developed agentic AI workflows for medical imaging, extending a cardiac MRI frequency-selection pipeline with evidence-grounded reasoning and uncertainty handling. Improved chest X-ray evidence extraction using multi-view processing and ensemble models.

Python PyTorch MONAI TorchXRayVision OpenCV Grad CAM RAG Agentic AI DICOM

Education

Degrees, certifications, and relevant coursework

National University of Science & Technology

Bachelor of Engineering, Software Engineering

2023 -

Grade: 3.47

Pursuing a Bachelor of Engineering in Software Engineering with a CGPA of 3.47. Achieved Merit Position 45 in the NUST entry test.

Cedar College

Cambridge International A Levels, General

2021 - 2023

Grade: 4 A*

Completed Cambridge International A Levels with 4 A* grades in Mathematics, Computer Science, Physics, and Chemistry. Awarded a 90% Merit Scholarship for excellence in Mathematics and Computer Science.