Muhammad Hanzella Khan

Muhammad Hanzella Khan

$15/hr
N8N Automation| AI | MachineLearning |Make.com
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Location:
Islamabad, Islamabad, Pakistan
Experience:
1 year
M. Hanzella Khan Summary Computer Science graduate skilled in full-stack development, generative AI, and machine learning research. Experienced in deploying AI systems, optimizing backend performance, and contributing to academic publications. Seeking roles in AI, software engineering, or applied research. Education FAST NUCES, Islamabad, Pakistan BS in Computer Science Key Courses: AI, Generative AI, Deep Learning, MLOps, Data Mining, NLP, Software Design, SPM - Technical Skills Languages:Python, C++, JavaScript Frameworks: Django, Flask, TensorFlow, Keras, Scikit-learn, NLTK, SpaCy Tools: Docker, Kubernetes, Git Platforms: Linux, Windows, AWS Exp erience Co dSoft(Remote) AI Intern May 2022 – Sep 2022 • Built ML models for image classification and sentiment analysis. • Collaborated with team using Git, Python, and Google Colab for workflow efficiency. Certifications AWS Certified AI Practitioner (AIF-C01) Coursera – In Progress, 2025 Hands-on training in AWS AI/ML services, generative AI, model deployment, and responsible AI. Pro jects NeuroGen – 3D Brain MRI Inpainting Using Diffusion Models (FYP) — 2024 • Developed DDPM-based model to inpaint healthy tissue in glioma-affected MRI scans using RePaint and Palette with BraTS dataset. Signature Detection & Synthetic Signature Generation — 2023 • Built CNN-based signature verification system; generated synthetic signatures using GANs & VAEs for robustness testing. Vision Transformer (ViT) for CIFAR-10 — 2023 • Implemented ViT for image classification; benchmarked vs. CNNs showing improved accuracy. Generative AI & LLM Applications — 2024 • Built GPT-powered applications with RAG and experimented with diffusion models for text-to-image. MLOps Pipeline Deployment — 2024 • Deployed ML models with Flask/FastAPI, CI/CD via GitHub Actions, and scalable deployment on Vercel. Publications NeuroGen – 3D Brain MRI Inpainting Using Diffusion Models (Under Review) Research on synthesizing healthy brain tissue using diffusion models with BraTS dataset and PyTorch. VolunteerWork Founding Member of nationwide welfare organization (WMD) supporting communities through blood drives, donations, and social services.
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